Overview

Dataset statistics

Number of variables236
Number of observations14646
Missing cells174497
Missing cells (%)5.0%
Total size in memory26.4 MiB
Average record size in memory1.8 KiB

Variable types

Numeric223
DateTime1
Categorical12

Alerts

chap_countrejectedapplications has 6906 (47.2%) missing values Missing
daysafterregistration has 9208 (62.9%) missing values Missing
num_positive_accounts has 2943 (20.1%) missing values Missing
sum_positive_accounts has 2943 (20.1%) missing values Missing
days_after_first_positive_accounts has 2943 (20.1%) missing values Missing
days_after_last_positive_accounts has 2943 (20.1%) missing values Missing
amounttotal has 2785 (19.0%) missing values Missing
amounttotalopen has 2785 (19.0%) missing values Missing
citysize has 2075 (14.2%) missing values Missing
companiesinhouse has 2075 (14.2%) missing values Missing
count has 2785 (19.0%) missing values Missing
creditstatusmax has 2785 (19.0%) missing values Missing
householdsize has 2075 (14.2%) missing values Missing
housesize has 2075 (14.2%) missing values Missing
legalform has 1941 (13.3%) missing values Missing
swo_ind_active_loans_amount has 2807 (19.2%) missing values Missing
swo_ind_active_loans_number has 2807 (19.2%) missing values Missing
swo_ind_active_loans_open_amount has 2879 (19.7%) missing values Missing
swo_ind_closed_paid_loans_lenders_number has 998 (6.8%) missing values Missing
swo_ind_loans_number has 820 (5.6%) missing values Missing
swo_ind_overdue_loans_number has 13802 (94.2%) missing values Missing
swo_ind_same_ip_different_pesel_count has 13222 (90.3%) missing values Missing
swo_ind_same_ip_different_pesel_count_unique has 13222 (90.3%) missing values Missing
chap_coef has 2807 (19.2%) missing values Missing
days_after_knownsince_pbd has 9860 (67.3%) missing values Missing
policyrule_partialdecision has 13987 (95.5%) missing values Missing
num_prepaid_loans has 2778 (19.0%) missing values Missing
max_prepaid_days has 4253 (29.0%) missing values Missing
min_prepaid_days has 4253 (29.0%) missing values Missing
avg_prepaid_days has 4253 (29.0%) missing values Missing
num_paid_loans_on_time has 2778 (19.0%) missing values Missing
num_paid_loans_with_dpd has 2778 (19.0%) missing values Missing
num_paid_loans_with_dpd_to_all has 2778 (19.0%) missing values Missing
max_dpd has 9423 (64.3%) missing values Missing
avg_dpd has 9423 (64.3%) missing values Missing
TARGET has 4646 (31.7%) missing values Missing
customerincomecurrent is highly skewed (γ1 = 121.0205918) Skewed
customerincomeprevious is highly skewed (γ1 = 91.64870551) Skewed
income_charge is highly skewed (γ1 = 68.61089846) Skewed
diff_customerincome is highly skewed (γ1 = -121.0205666) Skewed
amounttotal is highly skewed (γ1 = 32.34642153) Skewed
amounttotalopen is highly skewed (γ1 = 48.5920647) Skewed
swo_ind_same_phone_different_pesel_count_p0_30 is highly skewed (γ1 = 20.3112846) Skewed
swo_ind_same_phone_different_pesel_count_p0_90 is highly skewed (γ1 = 22.44081923) Skewed
oinformationcount is highly skewed (γ1 = 21.76870231) Skewed
informationcount is highly skewed (γ1 = 21.76870231) Skewed
amount is highly skewed (γ1 = 23.73210753) Skewed
application_id has unique values Unique
activeloan_coalt has 10943 (74.7%) zeros Zeros
applicationprice has 8910 (60.8%) zeros Zeros
avgbetweenapplications has 14258 (97.4%) zeros Zeros
avgbetweenapprovedapplications has 12197 (83.3%) zeros Zeros
avgextensions has 13569 (92.6%) zeros Zeros
avgloanterm has 9445 (64.5%) zeros Zeros
countrejectedapplications has 6906 (47.2%) zeros Zeros
countrejectedapplicationsafterlastloanclose has 13882 (94.8%) zeros Zeros
customerincomeprevious has 13143 (89.7%) zeros Zeros
employmentstatus has 241 (1.6%) zeros Zeros
income_charge has 8938 (61.0%) zeros Zeros
onavgdpd has 13740 (93.8%) zeros Zeros
ondpd_coalt has 13851 (94.6%) zeros Zeros
ondpd_ext_coalt has 13740 (93.8%) zeros Zeros
onlastloandpd_ext_coalt has 14372 (98.1%) zeros Zeros
onmaxdpd_coalt has 13851 (94.6%) zeros Zeros
onmaxdpd_ext_coalt has 13740 (93.8%) zeros Zeros
chap_countrejectedapplications has 7479 (51.1%) zeros Zeros
max_ondpd has 13851 (94.6%) zeros Zeros
max_ondpd_ext has 13740 (93.8%) zeros Zeros
max_onlastloandpd_ext has 14372 (98.1%) zeros Zeros
max_onmaxdpd has 13851 (94.6%) zeros Zeros
max_onmaxdpd_ext has 13740 (93.8%) zeros Zeros
daysafterregistration has 2703 (18.5%) zeros Zeros
amounttotal has 11755 (80.3%) zeros Zeros
amounttotalopen has 11753 (80.2%) zeros Zeros
count has 11586 (79.1%) zeros Zeros
creditstatusmax has 11586 (79.1%) zeros Zeros
correspondence_address_different_pesel_count_p0_1 has 14180 (96.8%) zeros Zeros
correspondence_address_different_pesel_count_p0_3 has 13823 (94.4%) zeros Zeros
correspondence_address_different_pesel_count_p0_7 has 13307 (90.9%) zeros Zeros
correspondence_address_different_pesel_count_p0_30 has 11768 (80.3%) zeros Zeros
correspondence_address_different_pesel_count_p0_90 has 10110 (69.0%) zeros Zeros
correspondence_address_different_pesel_count_p0_210 has 8657 (59.1%) zeros Zeros
correspondence_address_different_pesel_count_p0_360 has 7622 (52.0%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_1 has 14180 (96.8%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_3 has 13823 (94.4%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_7 has 13307 (90.9%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_30 has 11768 (80.3%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_90 has 10110 (69.0%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_210 has 8657 (59.1%) zeros Zeros
correspondence_address_different_pesel_count_unique_p0_360 has 7622 (52.0%) zeros Zeros
pesel_different_correspondence_address_count_p0_1 has 13825 (94.4%) zeros Zeros
pesel_different_correspondence_address_count_p0_3 has 13454 (91.9%) zeros Zeros
pesel_different_correspondence_address_count_p0_7 has 12970 (88.6%) zeros Zeros
pesel_different_correspondence_address_count_p0_30 has 11493 (78.5%) zeros Zeros
pesel_different_correspondence_address_count_p0_90 has 10299 (70.3%) zeros Zeros
pesel_different_correspondence_address_count_p0_210 has 9434 (64.4%) zeros Zeros
pesel_different_correspondence_address_count_p0_360 has 8863 (60.5%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_1 has 13825 (94.4%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_3 has 13454 (91.9%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_7 has 12970 (88.6%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_30 has 11493 (78.5%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_90 has 10299 (70.3%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_210 has 9434 (64.4%) zeros Zeros
pesel_different_correspondence_address_count_unique_p0_360 has 8863 (60.5%) zeros Zeros
swo_ind_active_loans_number_p0_1 has 13772 (94.0%) zeros Zeros
swo_ind_active_loans_number_p0_3 has 12476 (85.2%) zeros Zeros
swo_ind_active_loans_number_p0_7 has 10262 (70.1%) zeros Zeros
swo_ind_active_loans_number_p0_30 has 4677 (31.9%) zeros Zeros
swo_ind_active_loans_number_p0_90 has 3409 (23.3%) zeros Zeros
swo_ind_active_loans_number_p0_210 has 3135 (21.4%) zeros Zeros
swo_ind_active_loans_number_p0_360 has 2975 (20.3%) zeros Zeros
swo_ind_active_loans_number_p0_plus has 2807 (19.2%) zeros Zeros
swo_ind_canceled_loans_number_p2_90 has 14446 (98.6%) zeros Zeros
swo_ind_canceled_loans_number_p2_210 has 14318 (97.8%) zeros Zeros
swo_ind_canceled_loans_number_p2_360 has 14199 (96.9%) zeros Zeros
swo_ind_canceled_loans_number_p2_plus has 13977 (95.4%) zeros Zeros
swo_ind_loans_amount_p0_1 has 13770 (94.0%) zeros Zeros
swo_ind_loans_amount_p0_3 has 12461 (85.1%) zeros Zeros
swo_ind_loans_amount_p0_7 has 10217 (69.8%) zeros Zeros
swo_ind_loans_amount_p0_30 has 4374 (29.9%) zeros Zeros
swo_ind_loans_amount_p0_90 has 2428 (16.6%) zeros Zeros
swo_ind_loans_amount_p0_210 has 1772 (12.1%) zeros Zeros
swo_ind_loans_amount_p0_360 has 1434 (9.8%) zeros Zeros
swo_ind_loans_amount_p0_plus has 825 (5.6%) zeros Zeros
swo_ind_loans_number_p0_1 has 13770 (94.0%) zeros Zeros
swo_ind_loans_number_p0_3 has 12461 (85.1%) zeros Zeros
swo_ind_loans_number_p0_7 has 10217 (69.8%) zeros Zeros
swo_ind_loans_number_p0_30 has 4369 (29.8%) zeros Zeros
swo_ind_loans_number_p0_90 has 2416 (16.5%) zeros Zeros
swo_ind_loans_number_p0_210 has 1760 (12.0%) zeros Zeros
swo_ind_loans_number_p0_360 has 1424 (9.7%) zeros Zeros
swo_ind_loans_number_p0_plus has 820 (5.6%) zeros Zeros
swo_ind_overdue_loans_number_p0_1 has 14374 (98.1%) zeros Zeros
swo_ind_overdue_loans_number_p0_3 has 13977 (95.4%) zeros Zeros
swo_ind_overdue_loans_number_p0_7 has 13897 (94.9%) zeros Zeros
swo_ind_overdue_loans_number_p0_30 has 13803 (94.2%) zeros Zeros
swo_ind_overdue_loans_number_p0_90 has 13803 (94.2%) zeros Zeros
swo_ind_overdue_loans_number_p0_210 has 13803 (94.2%) zeros Zeros
swo_ind_overdue_loans_number_p0_360 has 13803 (94.2%) zeros Zeros
swo_ind_overdue_loans_number_p0_plus has 13802 (94.2%) zeros Zeros
swo_ind_overdue_loans_sum_501_1000_p0_7 has 14483 (98.9%) zeros Zeros
swo_ind_overdue_loans_sum_501_1000_p0_30 has 14457 (98.7%) zeros Zeros
swo_ind_overdue_loans_sum_501_1000_p0_90 has 14457 (98.7%) zeros Zeros
swo_ind_overdue_loans_sum_501_1000_p0_210 has 14457 (98.7%) zeros Zeros
swo_ind_overdue_loans_sum_501_1000_p0_360 has 14457 (98.7%) zeros Zeros
swo_ind_overdue_loans_sum_501_1000_p0_plus has 14457 (98.7%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_3 has 14299 (97.6%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_7 has 14279 (97.5%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_30 has 14233 (97.2%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_90 has 14233 (97.2%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_210 has 14233 (97.2%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_360 has 14233 (97.2%) zeros Zeros
swo_ind_overdue_loans_sum_1001_5000_p0_plus has 14233 (97.2%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_1 has 13896 (94.9%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_3 has 13369 (91.3%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_7 has 12678 (86.6%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_30 has 10670 (72.9%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_90 has 9016 (61.6%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_210 has 7918 (54.1%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_p0_360 has 6987 (47.7%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_1 has 13896 (94.9%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_3 has 13369 (91.3%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_7 has 12678 (86.6%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_30 has 10670 (72.9%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_90 has 9016 (61.6%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_210 has 7918 (54.1%) zeros Zeros
swo_ind_same_main_address_different_pesel_count_unique_p0_360 has 6987 (47.7%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_1 has 8814 (60.2%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_3 has 7262 (49.6%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_7 has 5587 (38.1%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_30 has 2599 (17.7%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_90 has 1281 (8.7%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_210 has 774 (5.3%) zeros Zeros
swo_ind_same_pesel_applications_count_p0_360 has 517 (3.5%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_1 has 14196 (96.9%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_3 has 14037 (95.8%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_7 has 13861 (94.6%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_30 has 13268 (90.6%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_90 has 12771 (87.2%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_210 has 12489 (85.3%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_p0_360 has 12227 (83.5%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_1 has 14196 (96.9%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_3 has 14037 (95.8%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_7 has 13861 (94.6%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_30 has 13268 (90.6%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_90 has 12771 (87.2%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_210 has 12489 (85.3%) zeros Zeros
swo_ind_same_pesel_different_idcard_count_unique_p0_360 has 12227 (83.5%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_1 has 9634 (65.8%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_3 has 8081 (55.2%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_7 has 6290 (42.9%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_30 has 3018 (20.6%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_90 has 1523 (10.4%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_210 has 918 (6.3%) zeros Zeros
swo_ind_same_pesel_different_lender_count_unique_p0_360 has 600 (4.1%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_1 has 13144 (89.7%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_3 has 12562 (85.8%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_7 has 11777 (80.4%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_30 has 9932 (67.8%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_90 has 8285 (56.6%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_210 has 7307 (49.9%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_p0_360 has 6724 (45.9%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_1 has 13144 (89.7%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_3 has 12562 (85.8%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_7 has 11777 (80.4%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_30 has 9932 (67.8%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_90 has 8285 (56.6%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_210 has 7307 (49.9%) zeros Zeros
swo_ind_same_pesel_different_main_address_count_unique_p0_360 has 6724 (45.9%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_1 has 14222 (97.1%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_3 has 14006 (95.6%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_7 has 13741 (93.8%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_30 has 13168 (89.9%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_90 has 12520 (85.5%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_210 has 12018 (82.1%) zeros Zeros
swo_ind_same_pesel_different_phone_count_unique_p0_360 has 11585 (79.1%) zeros Zeros
swo_ind_same_phone_different_pesel_count_p0_30 has 14267 (97.4%) zeros Zeros
swo_ind_same_phone_different_pesel_count_p0_90 has 14016 (95.7%) zeros Zeros
swo_ind_same_phone_different_pesel_count_p0_210 has 13841 (94.5%) zeros Zeros
swo_ind_same_phone_different_pesel_count_p0_360 has 13682 (93.4%) zeros Zeros
swo_ind_same_phone_different_pesel_count_unique_p0_7 has 14456 (98.7%) zeros Zeros
swo_ind_same_phone_different_pesel_count_unique_p0_30 has 14267 (97.4%) zeros Zeros
swo_ind_same_phone_different_pesel_count_unique_p0_90 has 14016 (95.7%) zeros Zeros
swo_ind_same_phone_different_pesel_count_unique_p0_210 has 13841 (94.5%) zeros Zeros
swo_ind_same_phone_different_pesel_count_unique_p0_360 has 13682 (93.4%) zeros Zeros
masterriskstatus_no_negative_history has 3060 (20.9%) zeros Zeros
masterriskstatus_postempowanie has 14371 (98.1%) zeros Zeros
repetitionfilter has 14392 (98.3%) zeros Zeros
num_prepaid_loans has 1475 (10.1%) zeros Zeros
num_paid_loans_on_time has 7748 (52.9%) zeros Zeros
num_paid_loans_with_dpd has 6645 (45.4%) zeros Zeros
num_paid_loans_with_dpd_to_all has 11035 (75.3%) zeros Zeros
oinformationcount has 14198 (96.9%) zeros Zeros
informationcount has 14198 (96.9%) zeros Zeros
debtorscount has 14198 (96.9%) zeros Zeros
creditorscount has 14198 (96.9%) zeros Zeros
amount has 14198 (96.9%) zeros Zeros
providerscount has 2852 (19.5%) zeros Zeros
paidobligationscount has 2852 (19.5%) zeros Zeros
averagepaiddebt has 2852 (19.5%) zeros Zeros
averagepaymenttimeindays has 10552 (72.0%) zeros Zeros
sumpaiddebt has 2852 (19.5%) zeros Zeros
TARGET has 7727 (52.8%) zeros Zeros

Reproduction

Analysis started2022-08-17 23:37:03.485979
Analysis finished2022-08-17 23:37:04.139142
Duration0.65 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

Distinct10000
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4150.302813
Minimum0
Maximum9999
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.181773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile366
Q11830.25
median3661
Q36337.75
95-th percentile9266.75
Maximum9999
Range9999
Interquartile range (IQR)4507.5

Descriptive statistics

Standard deviation2795.199705
Coefficient of variation (CV)0.6734929548
Kurtosis-0.9167760297
Mean4150.302813
Median Absolute Deviation (MAD)2113
Skewness0.451002031
Sum60785335
Variance7813141.39
MonotonicityNot monotonic
2022-08-18T01:37:04.253476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
< 0.1%
31222
 
< 0.1%
31022
 
< 0.1%
31012
 
< 0.1%
31002
 
< 0.1%
30992
 
< 0.1%
30982
 
< 0.1%
30972
 
< 0.1%
30962
 
< 0.1%
30952
 
< 0.1%
Other values (9990)14626
99.9%
ValueCountFrequency (%)
02
< 0.1%
12
< 0.1%
22
< 0.1%
32
< 0.1%
42
< 0.1%
ValueCountFrequency (%)
99991
< 0.1%
99981
< 0.1%
99971
< 0.1%
99961
< 0.1%
99951
< 0.1%

application_id
Real number (ℝ≥0)

UNIQUE

Distinct14646
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10428.29803
Minimum2
Maximum20929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.319713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1046.25
Q15208.25
median10385.5
Q315640.75
95-th percentile19872.25
Maximum20929
Range20927
Interquartile range (IQR)10432.5

Descriptive statistics

Standard deviation6031.217898
Coefficient of variation (CV)0.5783511248
Kurtosis-1.191265952
Mean10428.29803
Median Absolute Deviation (MAD)5216.5
Skewness0.0103655036
Sum152732853
Variance36375589.33
MonotonicityNot monotonic
2022-08-18T01:37:04.375926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42751
 
< 0.1%
90791
 
< 0.1%
91171
 
< 0.1%
200801
 
< 0.1%
104891
 
< 0.1%
177401
 
< 0.1%
199651
 
< 0.1%
186051
 
< 0.1%
124591
 
< 0.1%
208601
 
< 0.1%
Other values (14636)14636
99.9%
ValueCountFrequency (%)
21
< 0.1%
41
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
ValueCountFrequency (%)
209291
< 0.1%
209281
< 0.1%
209271
< 0.1%
209261
< 0.1%
209251
< 0.1%
Distinct157
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size114.5 KiB
Minimum2020-10-01 00:00:00
Maximum2021-03-06 00:00:00
2022-08-18T01:37:04.422655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-18T01:37:04.473208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

activeloan_coalt
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2528335382
Minimum0
Maximum1
Zeros10943
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.514480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4346511697
Coefficient of variation (CV)1.719119911
Kurtosis-0.7062701296
Mean0.2528335382
Median Absolute Deviation (MAD)0
Skewness1.137464872
Sum3703
Variance0.1889216393
MonotonicityNot monotonic
2022-08-18T01:37:04.545669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010943
74.7%
13703
 
25.3%
ValueCountFrequency (%)
010943
74.7%
13703
 
25.3%
ValueCountFrequency (%)
13703
 
25.3%
010943
74.7%

applicationamount
Real number (ℝ≥0)

Distinct30
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1132.199918
Minimum100
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.582394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile200
Q1500
median800
Q31500
95-th percentile3000
Maximum3000
Range2900
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation888.5022755
Coefficient of variation (CV)0.7847574102
Kurtosis-0.05685115941
Mean1132.199918
Median Absolute Deviation (MAD)300
Skewness1.16137084
Sum16582200
Variance789436.2935
MonotonicityNot monotonic
2022-08-18T01:37:04.622240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10003182
21.7%
6003111
21.2%
30001721
11.8%
5001697
11.6%
200942
 
6.4%
300676
 
4.6%
2000565
 
3.9%
400505
 
3.4%
1500396
 
2.7%
2500343
 
2.3%
Other values (20)1508
10.3%
ValueCountFrequency (%)
1009
 
0.1%
200942
6.4%
300676
 
4.6%
400505
 
3.4%
5001697
11.6%
ValueCountFrequency (%)
30001721
11.8%
290025
 
0.2%
280024
 
0.2%
2700303
 
2.1%
260040
 
0.3%

applicationprice
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.358149
Minimum0
Maximum482.54
Zeros8910
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.671411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3176.93
95-th percentile482.54
Maximum482.54
Range482.54
Interquartile range (IQR)176.93

Descriptive statistics

Standard deviation163.5440204
Coefficient of variation (CV)1.481938777
Kurtosis0.08552706215
Mean110.358149
Median Absolute Deviation (MAD)0
Skewness1.234024765
Sum1616305.45
Variance26746.6466
MonotonicityNot monotonic
2022-08-18T01:37:04.722453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08910
60.8%
482.541226
 
8.4%
160.851029
 
7.0%
241.27586
 
4.0%
321.7369
 
2.5%
80.42343
 
2.3%
128.67215
 
1.5%
402.11211
 
1.4%
434.29210
 
1.4%
361.91157
 
1.1%
Other values (67)1390
 
9.5%
ValueCountFrequency (%)
08910
60.8%
16.089
 
0.1%
48.252
 
< 0.1%
56.2929
 
0.2%
64.3430
 
0.2%
ValueCountFrequency (%)
482.541226
8.4%
466.4614
 
0.1%
450.3720
 
0.1%
434.29210
 
1.4%
418.2127
 
0.2%

avgbetweenapplications
Real number (ℝ≥0)

ZEROS

Distinct171
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1012986481
Minimum0
Maximum30.08
Zeros14258
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.772268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30.08
Range30.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.270061641
Coefficient of variation (CV)12.53779458
Kurtosis287.9232281
Mean0.1012986481
Median Absolute Deviation (MAD)0
Skewness16.00533742
Sum1483.62
Variance1.613056572
MonotonicityNot monotonic
2022-08-18T01:37:04.821423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014258
97.4%
0.0186
 
0.6%
0.0237
 
0.3%
0.0418
 
0.1%
0.0316
 
0.1%
0.059
 
0.1%
0.086
 
< 0.1%
0.075
 
< 0.1%
0.065
 
< 0.1%
0.144
 
< 0.1%
Other values (161)202
 
1.4%
ValueCountFrequency (%)
014258
97.4%
0.0186
 
0.6%
0.0237
 
0.3%
0.0316
 
0.1%
0.0418
 
0.1%
ValueCountFrequency (%)
30.081
< 0.1%
29.031
< 0.1%
29.011
< 0.1%
28.922
< 0.1%
28.891
< 0.1%

avgbetweenapprovedapplications
Real number (ℝ≥0)

ZEROS

Distinct1800
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.41032842
Minimum0
Maximum2244.76
Zeros12197
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.872345image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile46.62
Maximum2244.76
Range2244.76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60.74986583
Coefficient of variation (CV)5.324111945
Kurtosis430.7143155
Mean11.41032842
Median Absolute Deviation (MAD)0
Skewness16.79455144
Sum167115.67
Variance3690.546198
MonotonicityNot monotonic
2022-08-18T01:37:04.923463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012197
83.3%
30.058
 
0.1%
29.798
 
0.1%
29.447
 
< 0.1%
27.937
 
< 0.1%
29.56
 
< 0.1%
29.636
 
< 0.1%
30.286
 
< 0.1%
30.046
 
< 0.1%
29.986
 
< 0.1%
Other values (1790)2389
 
16.3%
ValueCountFrequency (%)
012197
83.3%
0.013
 
< 0.1%
0.033
 
< 0.1%
0.281
 
< 0.1%
0.31
 
< 0.1%
ValueCountFrequency (%)
2244.761
< 0.1%
2125.771
< 0.1%
2093.381
< 0.1%
1367.692
< 0.1%
1173.741
< 0.1%

avgextensions
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08992216305
Minimum0
Maximum14
Zeros13569
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:04.967572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.5
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4882415624
Coefficient of variation (CV)5.429602067
Kurtosis193.1195785
Mean0.08992216305
Median Absolute Deviation (MAD)0
Skewness11.32450155
Sum1317
Variance0.2383798232
MonotonicityNot monotonic
2022-08-18T01:37:05.006318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
013569
92.6%
0.5557
 
3.8%
1214
 
1.5%
1.5112
 
0.8%
265
 
0.4%
332
 
0.2%
2.531
 
0.2%
418
 
0.1%
4.512
 
0.1%
3.512
 
0.1%
Other values (13)24
 
0.2%
ValueCountFrequency (%)
013569
92.6%
0.5557
 
3.8%
1214
 
1.5%
1.5112
 
0.8%
265
 
0.4%
ValueCountFrequency (%)
141
< 0.1%
121
< 0.1%
112
< 0.1%
10.52
< 0.1%
92
< 0.1%

avgloanterm
Real number (ℝ≥0)

ZEROS

Distinct134
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.83410897
Minimum0
Maximum75
Zeros9445
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.052647image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile30
Maximum75
Range75
Interquartile range (IQR)30

Descriptive statistics

Standard deviation14.68802868
Coefficient of variation (CV)1.355720966
Kurtosis-1.476353757
Mean10.83410897
Median Absolute Deviation (MAD)0
Skewness0.6502153897
Sum158676.36
Variance215.7381866
MonotonicityNot monotonic
2022-08-18T01:37:05.098482image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09445
64.5%
304581
31.3%
35116
 
0.8%
37.575
 
0.5%
3934
 
0.2%
33.7532
 
0.2%
2523
 
0.2%
3623
 
0.2%
31.6717
 
0.1%
4015
 
0.1%
Other values (124)285
 
1.9%
ValueCountFrequency (%)
09445
64.5%
106
 
< 0.1%
155
 
< 0.1%
16.251
 
< 0.1%
17.52
 
< 0.1%
ValueCountFrequency (%)
751
< 0.1%
701
< 0.1%
68.571
< 0.1%
65.771
< 0.1%
58.131
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.036323911
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.138803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1871012417
Coefficient of variation (CV)0.1805432064
Kurtosis22.57588435
Mean1.036323911
Median Absolute Deviation (MAD)0
Skewness4.957096074
Sum15178
Variance0.03500687466
MonotonicityNot monotonic
2022-08-18T01:37:05.171370image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
114114
96.4%
2532
 
3.6%
ValueCountFrequency (%)
114114
96.4%
2532
 
3.6%
ValueCountFrequency (%)
2532
 
3.6%
114114
96.4%

countrejectedapplications
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.547384952
Minimum0
Maximum53
Zeros6906
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.212567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum53
Range53
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.950514996
Coefficient of variation (CV)1.906775035
Kurtosis42.10688532
Mean1.547384952
Median Absolute Deviation (MAD)1
Skewness5.028248429
Sum22663
Variance8.70553874
MonotonicityNot monotonic
2022-08-18T01:37:05.257287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
06906
47.2%
13540
24.2%
21482
 
10.1%
3883
 
6.0%
4505
 
3.4%
5334
 
2.3%
6254
 
1.7%
7187
 
1.3%
8139
 
0.9%
989
 
0.6%
Other values (29)327
 
2.2%
ValueCountFrequency (%)
06906
47.2%
13540
24.2%
21482
 
10.1%
3883
 
6.0%
4505
 
3.4%
ValueCountFrequency (%)
531
< 0.1%
461
< 0.1%
431
< 0.1%
422
< 0.1%
381
< 0.1%
Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.128567527
Minimum0
Maximum34
Zeros13882
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.296804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9102769472
Coefficient of variation (CV)7.080146664
Kurtosis374.1328077
Mean0.128567527
Median Absolute Deviation (MAD)0
Skewness15.88496856
Sum1883
Variance0.8286041206
MonotonicityNot monotonic
2022-08-18T01:37:05.333293image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
013882
94.8%
1427
 
2.9%
2142
 
1.0%
371
 
0.5%
437
 
0.3%
519
 
0.1%
616
 
0.1%
89
 
0.1%
78
 
0.1%
97
 
< 0.1%
Other values (13)28
 
0.2%
ValueCountFrequency (%)
013882
94.8%
1427
 
2.9%
2142
 
1.0%
371
 
0.5%
437
 
0.3%
ValueCountFrequency (%)
341
< 0.1%
311
< 0.1%
231
< 0.1%
211
< 0.1%
191
< 0.1%

customerincomecurrent
Real number (ℝ≥0)

SKEWED

Distinct866
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150766.9461
Minimum0
Maximum2147483647
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.379235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1500
Q12500
median3000
Q34200
95-th percentile8000
Maximum2147483647
Range2147483647
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation17744738.1
Coefficient of variation (CV)117.696475
Kurtosis14645.98909
Mean150766.9461
Median Absolute Deviation (MAD)800
Skewness121.0205918
Sum2208132692
Variance3.148757302 × 1014
MonotonicityNot monotonic
2022-08-18T01:37:05.606514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30001335
 
9.1%
25001041
 
7.1%
3500873
 
6.0%
4000813
 
5.6%
5000596
 
4.1%
2000572
 
3.9%
2600466
 
3.2%
4500450
 
3.1%
3200439
 
3.0%
2800416
 
2.8%
Other values (856)7645
52.2%
ValueCountFrequency (%)
022
0.2%
24
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
351
 
< 0.1%
ValueCountFrequency (%)
21474836471
< 0.1%
6000001
< 0.1%
4129951
< 0.1%
4000401
< 0.1%
3800002
< 0.1%

customerincomeprevious
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct241
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.8863854
Minimum0
Maximum717161
Zeros13143
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.655231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2650
Maximum717161
Range717161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6713.949146
Coefficient of variation (CV)16.38002477
Kurtosis9284.766134
Mean409.8863854
Median Absolute Deviation (MAD)0
Skewness91.64870551
Sum6003196
Variance45077113.14
MonotonicityNot monotonic
2022-08-18T01:37:05.704412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013143
89.7%
2000105
 
0.7%
2500104
 
0.7%
3000100
 
0.7%
350064
 
0.4%
150057
 
0.4%
400056
 
0.4%
280045
 
0.3%
320044
 
0.3%
600038
 
0.3%
Other values (231)890
 
6.1%
ValueCountFrequency (%)
013143
89.7%
13
 
< 0.1%
21
 
< 0.1%
43
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
7171611
< 0.1%
3333401
< 0.1%
854001
< 0.1%
480001
< 0.1%
336001
< 0.1%

employmentstatus
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.097842414
Minimum0
Maximum11
Zeros241
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.750026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.209991995
Coefficient of variation (CV)1.036202481
Kurtosis0.7286188988
Mean3.097842414
Median Absolute Deviation (MAD)1
Skewness1.470052051
Sum45371
Variance10.30404861
MonotonicityNot monotonic
2022-08-18T01:37:05.784751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
17038
48.1%
22471
 
16.9%
31067
 
7.3%
10934
 
6.4%
11814
 
5.6%
4697
 
4.8%
7531
 
3.6%
5444
 
3.0%
8357
 
2.4%
0241
 
1.6%
Other values (2)52
 
0.4%
ValueCountFrequency (%)
0241
 
1.6%
17038
48.1%
22471
 
16.9%
31067
 
7.3%
4697
 
4.8%
ValueCountFrequency (%)
11814
5.6%
10934
6.4%
91
 
< 0.1%
8357
 
2.4%
7531
3.6%

income_charge
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct59
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0510665028
Minimum0
Maximum80.43
Zeros8938
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.827353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.05
95-th percentile0.15
Maximum80.43
Range80.43
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation1.158121215
Coefficient of variation (CV)22.67868664
Kurtosis4753.490908
Mean0.0510665028
Median Absolute Deviation (MAD)0
Skewness68.61089846
Sum747.92
Variance1.341244748
MonotonicityNot monotonic
2022-08-18T01:37:05.876581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08938
61.0%
0.05660
 
4.5%
0.03553
 
3.8%
0.06534
 
3.6%
0.04519
 
3.5%
0.08390
 
2.7%
0.07356
 
2.4%
0.02343
 
2.3%
0.11303
 
2.1%
0.1285
 
1.9%
Other values (49)1765
 
12.1%
ValueCountFrequency (%)
08938
61.0%
0.01151
 
1.0%
0.02343
 
2.3%
0.03553
 
3.8%
0.04519
 
3.5%
ValueCountFrequency (%)
80.433
< 0.1%
13.791
 
< 0.1%
3.221
 
< 0.1%
2.411
 
< 0.1%
1.321
 
< 0.1%

onavgdpd
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4275733989
Minimum0
Maximum108
Zeros13740
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:05.928926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum108
Range108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.780398423
Coefficient of variation (CV)6.502739482
Kurtosis351.9599548
Mean0.4275733989
Median Absolute Deviation (MAD)0
Skewness14.29839405
Sum6262.24
Variance7.730615388
MonotonicityNot monotonic
2022-08-18T01:37:05.979224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013740
93.8%
1201
 
1.4%
2128
 
0.9%
383
 
0.6%
458
 
0.4%
649
 
0.3%
530
 
0.2%
928
 
0.2%
726
 
0.2%
1125
 
0.2%
Other values (81)278
 
1.9%
ValueCountFrequency (%)
013740
93.8%
1201
 
1.4%
1.251
 
< 0.1%
1.331
 
< 0.1%
1.510
 
0.1%
ValueCountFrequency (%)
1081
< 0.1%
951
< 0.1%
811
< 0.1%
501
< 0.1%
491
< 0.1%

ondpd_coalt
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3226819609
Minimum0
Maximum30
Zeros13851
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.024465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011014482
Coefficient of variation (CV)6.232187495
Kurtosis87.00933496
Mean0.3226819609
Median Absolute Deviation (MAD)0
Skewness8.715984383
Sum4726
Variance4.044179246
MonotonicityNot monotonic
2022-08-18T01:37:06.065316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
013851
94.6%
1203
 
1.4%
2128
 
0.9%
395
 
0.6%
462
 
0.4%
642
 
0.3%
534
 
0.2%
726
 
0.2%
1121
 
0.1%
920
 
0.1%
Other values (21)164
 
1.1%
ValueCountFrequency (%)
013851
94.6%
1203
 
1.4%
2128
 
0.9%
395
 
0.6%
462
 
0.4%
ValueCountFrequency (%)
303
< 0.1%
291
 
< 0.1%
283
< 0.1%
271
 
< 0.1%
261
 
< 0.1%

ondpd_ext_coalt
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4019527516
Minimum0
Maximum30
Zeros13740
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.107050image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.296503854
Coefficient of variation (CV)5.713367666
Kurtosis66.33593124
Mean0.4019527516
Median Absolute Deviation (MAD)0
Skewness7.69433356
Sum5887
Variance5.273929952
MonotonicityNot monotonic
2022-08-18T01:37:06.145301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
013740
93.8%
1215
 
1.5%
2141
 
1.0%
394
 
0.6%
466
 
0.5%
651
 
0.3%
546
 
0.3%
731
 
0.2%
1124
 
0.2%
923
 
0.2%
Other values (21)215
 
1.5%
ValueCountFrequency (%)
013740
93.8%
1215
 
1.5%
2141
 
1.0%
394
 
0.6%
466
 
0.5%
ValueCountFrequency (%)
303
< 0.1%
291
 
< 0.1%
283
< 0.1%
272
< 0.1%
262
< 0.1%

onlastloandpd_ext_coalt
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1458418681
Minimum0
Maximum49
Zeros14372
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.186603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.573041967
Coefficient of variation (CV)10.78594225
Kurtosis285.6333515
Mean0.1458418681
Median Absolute Deviation (MAD)0
Skewness15.27366906
Sum2136
Variance2.474461029
MonotonicityNot monotonic
2022-08-18T01:37:06.228095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
014372
98.1%
163
 
0.4%
242
 
0.3%
323
 
0.2%
420
 
0.1%
615
 
0.1%
1111
 
0.1%
1510
 
0.1%
59
 
0.1%
128
 
0.1%
Other values (23)73
 
0.5%
ValueCountFrequency (%)
014372
98.1%
163
 
0.4%
242
 
0.3%
323
 
0.2%
420
 
0.1%
ValueCountFrequency (%)
491
< 0.1%
431
< 0.1%
411
< 0.1%
351
< 0.1%
312
< 0.1%

onmaxdpd_coalt
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3911648232
Minimum0
Maximum80
Zeros13851
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.272649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.771532809
Coefficient of variation (CV)7.085332434
Kurtosis231.0472821
Mean0.3911648232
Median Absolute Deviation (MAD)0
Skewness12.95176603
Sum5729
Variance7.681394109
MonotonicityNot monotonic
2022-08-18T01:37:06.319041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
013851
94.6%
1191
 
1.3%
2118
 
0.8%
388
 
0.6%
454
 
0.4%
647
 
0.3%
545
 
0.3%
722
 
0.2%
1121
 
0.1%
1020
 
0.1%
Other values (36)189
 
1.3%
ValueCountFrequency (%)
013851
94.6%
1191
 
1.3%
2118
 
0.8%
388
 
0.6%
454
 
0.4%
ValueCountFrequency (%)
801
< 0.1%
751
< 0.1%
701
< 0.1%
581
< 0.1%
561
< 0.1%

onmaxdpd_ext_coalt
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.582548136
Minimum0
Maximum108
Zeros13740
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.368812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum108
Range108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.961126395
Coefficient of variation (CV)6.799655084
Kurtosis203.8967158
Mean0.582548136
Median Absolute Deviation (MAD)0
Skewness12.24976927
Sum8532
Variance15.69052232
MonotonicityNot monotonic
2022-08-18T01:37:06.416160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013740
93.8%
1191
 
1.3%
2123
 
0.8%
383
 
0.6%
461
 
0.4%
652
 
0.4%
544
 
0.3%
730
 
0.2%
1129
 
0.2%
923
 
0.2%
Other values (52)270
 
1.8%
ValueCountFrequency (%)
013740
93.8%
1191
 
1.3%
2123
 
0.8%
383
 
0.6%
461
 
0.4%
ValueCountFrequency (%)
1081
< 0.1%
951
< 0.1%
911
< 0.1%
872
< 0.1%
811
< 0.1%

onsex
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.45705312
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.460736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4981691583
Coefficient of variation (CV)0.3419018506
Kurtosis-1.970532722
Mean1.45705312
Median Absolute Deviation (MAD)0
Skewness0.1724424101
Sum21340
Variance0.2481725103
MonotonicityNot monotonic
2022-08-18T01:37:06.502161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17952
54.3%
26694
45.7%
ValueCountFrequency (%)
17952
54.3%
26694
45.7%
ValueCountFrequency (%)
26694
45.7%
17952
54.3%

diff_customerincome
Real number (ℝ)

SKEWED

Distinct1001
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-150357.0597
Minimum-2147483647
Maximum713761
Zeros25
Zeros (%)0.2%
Negative14345
Negative (%)97.9%
Memory size114.5 KiB
2022-08-18T01:37:06.552785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2147483647
5-th percentile-8000
Q1-4000
median-3000
Q3-2200
95-th percentile-500
Maximum713761
Range2148197408
Interquartile range (IQR)1800

Descriptive statistics

Standard deviation17744742.72
Coefficient of variation (CV)-118.0173565
Kurtosis14645.98502
Mean-150357.0597
Median Absolute Deviation (MAD)1000
Skewness-121.0205666
Sum-2202129496
Variance3.148758942 × 1014
MonotonicityNot monotonic
2022-08-18T01:37:06.600633image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-30001233
 
8.4%
-2500995
 
6.8%
-3500784
 
5.4%
-4000754
 
5.1%
-2000589
 
4.0%
-5000538
 
3.7%
-2600427
 
2.9%
-4500405
 
2.8%
-3200389
 
2.7%
-2800374
 
2.6%
Other values (991)8158
55.7%
ValueCountFrequency (%)
-21474836471
< 0.1%
-6000001
< 0.1%
-4129951
< 0.1%
-4000401
< 0.1%
-3800002
< 0.1%
ValueCountFrequency (%)
7137611
< 0.1%
3300071
< 0.1%
845461
< 0.1%
265001
< 0.1%
258801
< 0.1%

chap_countapplication
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.036323911
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.642341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1871012417
Coefficient of variation (CV)0.1805432064
Kurtosis22.57588435
Mean1.036323911
Median Absolute Deviation (MAD)0
Skewness4.957096074
Sum15178
Variance0.03500687466
MonotonicityNot monotonic
2022-08-18T01:37:06.674684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
114114
96.4%
2532
 
3.6%
ValueCountFrequency (%)
114114
96.4%
2532
 
3.6%
ValueCountFrequency (%)
2532
 
3.6%
114114
96.4%

chap_countrejectedapplications
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)0.2%
Missing6906
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean0.0649870801
Minimum0
Maximum15
Zeros7479
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.711870image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4908138573
Coefficient of variation (CV)7.552483609
Kurtosis303.1283076
Mean0.0649870801
Median Absolute Deviation (MAD)0
Skewness14.52722121
Sum503
Variance0.2408982425
MonotonicityNot monotonic
2022-08-18T01:37:06.746476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
07479
51.1%
1162
 
1.1%
246
 
0.3%
324
 
0.2%
414
 
0.1%
86
 
< 0.1%
54
 
< 0.1%
151
 
< 0.1%
71
 
< 0.1%
61
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)6906
47.2%
ValueCountFrequency (%)
07479
51.1%
1162
 
1.1%
246
 
0.3%
324
 
0.2%
414
 
0.1%
ValueCountFrequency (%)
151
 
< 0.1%
141
 
< 0.1%
111
 
< 0.1%
86
< 0.1%
71
 
< 0.1%

max_ondpd
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3226819609
Minimum0
Maximum30
Zeros13851
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.786839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011014482
Coefficient of variation (CV)6.232187495
Kurtosis87.00933496
Mean0.3226819609
Median Absolute Deviation (MAD)0
Skewness8.715984383
Sum4726
Variance4.044179246
MonotonicityNot monotonic
2022-08-18T01:37:06.825955image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
013851
94.6%
1203
 
1.4%
2128
 
0.9%
395
 
0.6%
462
 
0.4%
642
 
0.3%
534
 
0.2%
726
 
0.2%
1121
 
0.1%
920
 
0.1%
Other values (21)164
 
1.1%
ValueCountFrequency (%)
013851
94.6%
1203
 
1.4%
2128
 
0.9%
395
 
0.6%
462
 
0.4%
ValueCountFrequency (%)
303
< 0.1%
291
 
< 0.1%
283
< 0.1%
271
 
< 0.1%
261
 
< 0.1%

max_ondpd_ext
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4019527516
Minimum0
Maximum30
Zeros13740
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.868241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.296503854
Coefficient of variation (CV)5.713367666
Kurtosis66.33593124
Mean0.4019527516
Median Absolute Deviation (MAD)0
Skewness7.69433356
Sum5887
Variance5.273929952
MonotonicityNot monotonic
2022-08-18T01:37:06.907277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
013740
93.8%
1215
 
1.5%
2141
 
1.0%
394
 
0.6%
466
 
0.5%
651
 
0.3%
546
 
0.3%
731
 
0.2%
1124
 
0.2%
923
 
0.2%
Other values (21)215
 
1.5%
ValueCountFrequency (%)
013740
93.8%
1215
 
1.5%
2141
 
1.0%
394
 
0.6%
466
 
0.5%
ValueCountFrequency (%)
303
< 0.1%
291
 
< 0.1%
283
< 0.1%
272
< 0.1%
262
< 0.1%

max_onlastloandpd_ext
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1458418681
Minimum0
Maximum49
Zeros14372
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:06.947978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.573041967
Coefficient of variation (CV)10.78594225
Kurtosis285.6333515
Mean0.1458418681
Median Absolute Deviation (MAD)0
Skewness15.27366906
Sum2136
Variance2.474461029
MonotonicityNot monotonic
2022-08-18T01:37:07.136953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
014372
98.1%
163
 
0.4%
242
 
0.3%
323
 
0.2%
420
 
0.1%
615
 
0.1%
1111
 
0.1%
1510
 
0.1%
59
 
0.1%
128
 
0.1%
Other values (23)73
 
0.5%
ValueCountFrequency (%)
014372
98.1%
163
 
0.4%
242
 
0.3%
323
 
0.2%
420
 
0.1%
ValueCountFrequency (%)
491
< 0.1%
431
< 0.1%
411
< 0.1%
351
< 0.1%
312
< 0.1%

max_onmaxdpd
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3911648232
Minimum0
Maximum80
Zeros13851
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.183518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.771532809
Coefficient of variation (CV)7.085332434
Kurtosis231.0472821
Mean0.3911648232
Median Absolute Deviation (MAD)0
Skewness12.95176603
Sum5729
Variance7.681394109
MonotonicityNot monotonic
2022-08-18T01:37:07.230031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
013851
94.6%
1191
 
1.3%
2118
 
0.8%
388
 
0.6%
454
 
0.4%
647
 
0.3%
545
 
0.3%
722
 
0.2%
1121
 
0.1%
1020
 
0.1%
Other values (36)189
 
1.3%
ValueCountFrequency (%)
013851
94.6%
1191
 
1.3%
2118
 
0.8%
388
 
0.6%
454
 
0.4%
ValueCountFrequency (%)
801
< 0.1%
751
< 0.1%
701
< 0.1%
581
< 0.1%
561
< 0.1%

max_onmaxdpd_ext
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.582548136
Minimum0
Maximum108
Zeros13740
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.279610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum108
Range108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.961126395
Coefficient of variation (CV)6.799655084
Kurtosis203.8967158
Mean0.582548136
Median Absolute Deviation (MAD)0
Skewness12.24976927
Sum8532
Variance15.69052232
MonotonicityNot monotonic
2022-08-18T01:37:07.327484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013740
93.8%
1191
 
1.3%
2123
 
0.8%
383
 
0.6%
461
 
0.4%
652
 
0.4%
544
 
0.3%
730
 
0.2%
1129
 
0.2%
923
 
0.2%
Other values (52)270
 
1.8%
ValueCountFrequency (%)
013740
93.8%
1191
 
1.3%
2123
 
0.8%
383
 
0.6%
461
 
0.4%
ValueCountFrequency (%)
1081
< 0.1%
951
< 0.1%
911
< 0.1%
872
< 0.1%
811
< 0.1%

daysafterregistration
Real number (ℝ≥0)

MISSING
ZEROS

Distinct639
Distinct (%)11.8%
Missing9208
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean115.0066201
Minimum0
Maximum2909
Zeros2703
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.376539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q396
95-th percentile609.45
Maximum2909
Range2909
Interquartile range (IQR)96

Descriptive statistics

Standard deviation299.6469843
Coefficient of variation (CV)2.605475964
Kurtosis27.40673479
Mean115.0066201
Median Absolute Deviation (MAD)1
Skewness4.7927644
Sum625406
Variance89788.3152
MonotonicityNot monotonic
2022-08-18T01:37:07.423459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02703
 
18.5%
1134
 
0.9%
630
 
0.2%
329
 
0.2%
3128
 
0.2%
2826
 
0.2%
824
 
0.2%
723
 
0.2%
6423
 
0.2%
3322
 
0.2%
Other values (629)2396
 
16.4%
(Missing)9208
62.9%
ValueCountFrequency (%)
02703
18.5%
1134
 
0.9%
220
 
0.1%
329
 
0.2%
420
 
0.1%
ValueCountFrequency (%)
29091
 
< 0.1%
28641
 
< 0.1%
26761
 
< 0.1%
26231
 
< 0.1%
26053
< 0.1%

num_positive_accounts
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)0.5%
Missing2943
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean6.352730069
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.471907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile21
Maximum72
Range71
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.069749978
Coefficient of variation (CV)1.112867995
Kurtosis7.617725012
Mean6.352730069
Median Absolute Deviation (MAD)3
Skewness2.364788495
Sum74346
Variance49.98136475
MonotonicityNot monotonic
2022-08-18T01:37:07.516521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12521
17.2%
21839
12.6%
31362
9.3%
4921
 
6.3%
5739
 
5.0%
6606
 
4.1%
7436
 
3.0%
8427
 
2.9%
9361
 
2.5%
10303
 
2.1%
Other values (47)2188
14.9%
(Missing)2943
20.1%
ValueCountFrequency (%)
12521
17.2%
21839
12.6%
31362
9.3%
4921
 
6.3%
5739
 
5.0%
ValueCountFrequency (%)
721
< 0.1%
632
< 0.1%
621
< 0.1%
611
< 0.1%
571
< 0.1%

sum_positive_accounts
Real number (ℝ≥0)

MISSING

Distinct7319
Distinct (%)62.5%
Missing2943
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean13909.97729
Minimum60
Maximum1095904.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.567451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile533.06
Q11828
median4953.57
Q315267.6
95-th percentile57648.59
Maximum1095904.74
Range1095844.74
Interquartile range (IQR)13439.6

Descriptive statistics

Standard deviation27583.80046
Coefficient of variation (CV)1.983022681
Kurtosis372.6264157
Mean13909.97729
Median Absolute Deviation (MAD)3953.57
Skewness12.62154933
Sum162788464.2
Variance760866047.6
MonotonicityNot monotonic
2022-08-18T01:37:07.614227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000286
 
2.0%
600243
 
1.7%
500242
 
1.7%
800169
 
1.2%
2000163
 
1.1%
250078
 
0.5%
300065
 
0.4%
150054
 
0.4%
30053
 
0.4%
580.4152
 
0.4%
Other values (7309)10298
70.3%
(Missing)2943
 
20.1%
ValueCountFrequency (%)
604
 
< 0.1%
10024
0.2%
102.491
 
< 0.1%
1041
 
< 0.1%
104.642
 
< 0.1%
ValueCountFrequency (%)
1095904.741
< 0.1%
903170.861
< 0.1%
836597.161
< 0.1%
325553.861
< 0.1%
3136731
< 0.1%

days_after_first_positive_accounts
Real number (ℝ)

MISSING

Distinct1292
Distinct (%)11.0%
Missing2943
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean379.1150132
Minimum-1410
Maximum1424
Zeros16
Zeros (%)0.1%
Negative499
Negative (%)3.4%
Memory size114.5 KiB
2022-08-18T01:37:07.662189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1410
5-th percentile3
Q175
median277
Q3616
95-th percentile1073
Maximum1424
Range2834
Interquartile range (IQR)541

Descriptive statistics

Standard deviation358.7378272
Coefficient of variation (CV)0.9462506487
Kurtosis-0.373612194
Mean379.1150132
Median Absolute Deviation (MAD)226
Skewness0.648590868
Sum4436783
Variance128692.8287
MonotonicityNot monotonic
2022-08-18T01:37:07.708425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
653
 
0.4%
3152
 
0.4%
5749
 
0.3%
5945
 
0.3%
1543
 
0.3%
442
 
0.3%
3441
 
0.3%
941
 
0.3%
2041
 
0.3%
2841
 
0.3%
Other values (1282)11255
76.8%
(Missing)2943
 
20.1%
ValueCountFrequency (%)
-14101
< 0.1%
-13911
< 0.1%
-10781
< 0.1%
-10481
< 0.1%
-10241
< 0.1%
ValueCountFrequency (%)
14241
< 0.1%
14131
< 0.1%
14111
< 0.1%
14071
< 0.1%
14031
< 0.1%

days_after_last_positive_accounts
Real number (ℝ)

MISSING

Distinct1471
Distinct (%)12.6%
Missing2943
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean54.66717936
Minimum-1594
Maximum1385
Zeros96
Zeros (%)0.7%
Negative2325
Negative (%)15.9%
Memory size114.5 KiB
2022-08-18T01:37:07.755656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1594
5-th percentile-417.8
Q14
median24
Q375
95-th percentile572
Maximum1385
Range2979
Interquartile range (IQR)71

Descriptive statistics

Standard deviation293.2657572
Coefficient of variation (CV)5.364567199
Kurtosis6.84007389
Mean54.66717936
Median Absolute Deviation (MAD)25
Skewness-0.6129691009
Sum639770
Variance86004.80436
MonotonicityNot monotonic
2022-08-18T01:37:07.799446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16176
 
1.2%
6170
 
1.2%
26168
 
1.1%
18165
 
1.1%
12164
 
1.1%
9161
 
1.1%
25158
 
1.1%
27156
 
1.1%
10153
 
1.0%
11153
 
1.0%
Other values (1461)10079
68.8%
(Missing)2943
 
20.1%
ValueCountFrequency (%)
-15941
< 0.1%
-15691
< 0.1%
-15661
< 0.1%
-15391
< 0.1%
-15171
< 0.1%
ValueCountFrequency (%)
13851
< 0.1%
13201
< 0.1%
12991
< 0.1%
12772
< 0.1%
12761
< 0.1%

amounttotal
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct73
Distinct (%)0.6%
Missing2785
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean71.94273754
Minimum0
Maximum64330.99
Zeros11755
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.847318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64330.99
Range64330.99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1682.1731
Coefficient of variation (CV)23.38211135
Kurtosis1139.066753
Mean71.94273754
Median Absolute Deviation (MAD)0
Skewness32.34642153
Sum853312.81
Variance2829706.339
MonotonicityNot monotonic
2022-08-18T01:37:07.893671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011755
80.3%
2065.014
 
< 0.1%
13053
 
< 0.1%
1349.233
 
< 0.1%
33241.513
 
< 0.1%
4003
 
< 0.1%
7651.573
 
< 0.1%
3472.363
 
< 0.1%
64330.993
 
< 0.1%
857.763
 
< 0.1%
Other values (63)78
 
0.5%
(Missing)2785
 
19.0%
ValueCountFrequency (%)
011755
80.3%
20.313
 
< 0.1%
59.481
 
< 0.1%
84.91
 
< 0.1%
103.461
 
< 0.1%
ValueCountFrequency (%)
64330.993
< 0.1%
63689.333
< 0.1%
35033.322
< 0.1%
33241.513
< 0.1%
288001
 
< 0.1%

amounttotalopen
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct75
Distinct (%)0.6%
Missing2785
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean92.71401062
Minimum0
Maximum180937.83
Zeros11753
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:07.943713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum180937.83
Range180937.83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2377.99768
Coefficient of variation (CV)25.64874137
Kurtosis3104.70404
Mean92.71401062
Median Absolute Deviation (MAD)0
Skewness48.5920647
Sum1099680.88
Variance5654872.965
MonotonicityNot monotonic
2022-08-18T01:37:07.989112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011753
80.2%
64330.993
 
< 0.1%
1349.233
 
< 0.1%
33241.513
 
< 0.1%
166.863
 
< 0.1%
8654.53
 
< 0.1%
38.773
 
< 0.1%
7651.573
 
< 0.1%
3378.593
 
< 0.1%
857.763
 
< 0.1%
Other values (65)81
 
0.6%
(Missing)2785
 
19.0%
ValueCountFrequency (%)
011753
80.2%
38.773
 
< 0.1%
39.022
 
< 0.1%
103.461
 
< 0.1%
135.511
 
< 0.1%
ValueCountFrequency (%)
180937.831
 
< 0.1%
64330.993
< 0.1%
63689.333
< 0.1%
35033.322
< 0.1%
33241.513
< 0.1%

citysize
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing2075
Missing (%)14.2%
Memory size114.5 KiB
XXL
3905 
XL
3748 
S
2735 
L
1456 
M
727 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowXXL
2nd rowS
3rd rowL
4th rowXXL
5th rowS

Common Values

ValueCountFrequency (%)
XXL3905
26.7%
XL3748
25.6%
S2735
18.7%
L1456
 
9.9%
M727
 
5.0%
(Missing)2075
14.2%

Category Frequency Plot

2022-08-18T01:37:08.038245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

companiesinhouse
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing2075
Missing (%)14.2%
Memory size114.5 KiB
S
4217 
UNKNOWN
3078 
L
2874 
M
1736 
XL
666 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowUNKNOWN
3rd rowL
4th rowL
5th rowUNKNOWN

Common Values

ValueCountFrequency (%)
S4217
28.8%
UNKNOWN3078
21.0%
L2874
19.6%
M1736
11.9%
XL666
 
4.5%
(Missing)2075
14.2%

Category Frequency Plot

2022-08-18T01:37:08.082026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

count
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)0.1%
Missing2785
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.02900261361
Minimum0
Maximum7
Zeros11586
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:08.114692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2157427855
Coefficient of variation (CV)7.438735984
Kurtosis250.9843235
Mean0.02900261361
Median Absolute Deviation (MAD)0
Skewness12.20811494
Sum344
Variance0.04654494949
MonotonicityNot monotonic
2022-08-18T01:37:08.144674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
011586
79.1%
1223
 
1.5%
245
 
0.3%
34
 
< 0.1%
72
 
< 0.1%
51
 
< 0.1%
(Missing)2785
 
19.0%
ValueCountFrequency (%)
011586
79.1%
1223
 
1.5%
245
 
0.3%
34
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
72
 
< 0.1%
51
 
< 0.1%
34
 
< 0.1%
245
 
0.3%
1223
1.5%

creditstatusmax
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing2785
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.04653907765
Minimum0
Maximum4
Zeros11586
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:08.177414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3448379179
Coefficient of variation (CV)7.409642291
Kurtosis82.15079564
Mean0.04653907765
Median Absolute Deviation (MAD)0
Skewness8.711426668
Sum552
Variance0.1189131896
MonotonicityNot monotonic
2022-08-18T01:37:08.208552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
011586
79.1%
1123
 
0.8%
267
 
0.5%
345
 
0.3%
440
 
0.3%
(Missing)2785
 
19.0%
ValueCountFrequency (%)
011586
79.1%
1123
 
0.8%
267
 
0.5%
345
 
0.3%
440
 
0.3%
ValueCountFrequency (%)
440
 
0.3%
345
 
0.3%
267
 
0.5%
1123
 
0.8%
011586
79.1%

decision
Categorical

Distinct3
Distinct (%)< 0.1%
Missing25
Missing (%)0.2%
Memory size114.5 KiB
GREEN
13926 
YELLOW
 
427
RED
 
268

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGREEN
2nd rowGREEN
3rd rowGREEN
4th rowGREEN
5th rowGREEN

Common Values

ValueCountFrequency (%)
GREEN13926
95.1%
YELLOW427
 
2.9%
RED268
 
1.8%
(Missing)25
 
0.2%

Category Frequency Plot

2022-08-18T01:37:08.248274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

gender
Categorical

Distinct2
Distinct (%)< 0.1%
Missing25
Missing (%)0.2%
Memory size114.5 KiB
MALE
7944 
FEMALE
6677 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMALE
2nd rowMALE
3rd rowMALE
4th rowFEMALE
5th rowMALE

Common Values

ValueCountFrequency (%)
MALE7944
54.2%
FEMALE6677
45.6%
(Missing)25
 
0.2%

Category Frequency Plot

2022-08-18T01:37:08.281936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

householdsize
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing2075
Missing (%)14.2%
Memory size114.5 KiB
UNKNOWN
6038 
S
3821 
M
2484 
L
 
228

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUNKNOWN
2nd rowM
3rd rowS
4th rowUNKNOWN
5th rowUNKNOWN

Common Values

ValueCountFrequency (%)
UNKNOWN6038
41.2%
S3821
26.1%
M2484
17.0%
L228
 
1.6%
(Missing)2075
 
14.2%

Category Frequency Plot

2022-08-18T01:37:08.325798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

housesize
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing2075
Missing (%)14.2%
Memory size114.5 KiB
S
3514 
L
3262 
XL
2105 
UNKNOWN
2028 
M
1662 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL
2nd rowS
3rd rowL
4th rowXL
5th rowUNKNOWN

Common Values

ValueCountFrequency (%)
S3514
24.0%
L3262
22.3%
XL2105
14.4%
UNKNOWN2028
13.8%
M1662
11.3%
(Missing)2075
14.2%

Category Frequency Plot

2022-08-18T01:37:08.505487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

legalform
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing1941
Missing (%)13.3%
Memory size114.5 KiB
UNKNOWN
7142 
PERSON
5563 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPERSON
2nd rowPERSON
3rd rowPERSON
4th rowPERSON
5th rowUNKNOWN

Common Values

ValueCountFrequency (%)
UNKNOWN7142
48.8%
PERSON5563
38.0%
(Missing)1941
 
13.3%

Category Frequency Plot

2022-08-18T01:37:08.565060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

swo_ind_active_loans_amount
Real number (ℝ≥0)

MISSING

Distinct6503
Distinct (%)54.9%
Missing2807
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean10741.35847
Minimum1
Maximum223896.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:08.615888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile580.41
Q12000
median5400
Q313583.28
95-th percentile37988.95
Maximum223896.22
Range223895.22
Interquartile range (IQR)11583.28

Descriptive statistics

Standard deviation14783.89478
Coefficient of variation (CV)1.376352425
Kurtosis23.01150386
Mean10741.35847
Median Absolute Deviation (MAD)4200
Skewness3.643325909
Sum127166942.9
Variance218563544.8
MonotonicityNot monotonic
2022-08-18T01:37:08.810538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000371
 
2.5%
500222
 
1.5%
600208
 
1.4%
2000163
 
1.1%
3000138
 
0.9%
800137
 
0.9%
1500130
 
0.9%
1200110
 
0.8%
500087
 
0.6%
250073
 
0.5%
Other values (6493)10200
69.6%
(Missing)2807
 
19.2%
ValueCountFrequency (%)
15
< 0.1%
401
 
< 0.1%
42.951
 
< 0.1%
44.481
 
< 0.1%
49.991
 
< 0.1%
ValueCountFrequency (%)
223896.221
< 0.1%
207079.862
< 0.1%
156166.161
< 0.1%
153221.831
< 0.1%
152308.451
< 0.1%

swo_ind_active_loans_number
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)0.2%
Missing2807
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean3.317425458
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:08.851815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum24
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.546362055
Coefficient of variation (CV)0.7675717472
Kurtosis4.549903654
Mean3.317425458
Median Absolute Deviation (MAD)2
Skewness1.757272514
Sum39275
Variance6.483959717
MonotonicityNot monotonic
2022-08-18T01:37:08.890857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
13228
22.0%
22519
17.2%
31877
12.8%
41363
9.3%
5908
 
6.2%
6643
 
4.4%
7469
 
3.2%
8279
 
1.9%
9195
 
1.3%
10130
 
0.9%
Other values (13)228
 
1.6%
(Missing)2807
19.2%
ValueCountFrequency (%)
13228
22.0%
22519
17.2%
31877
12.8%
41363
9.3%
5908
 
6.2%
ValueCountFrequency (%)
242
< 0.1%
231
< 0.1%
212
< 0.1%
201
< 0.1%
191
< 0.1%

swo_ind_active_loans_open_amount
Real number (ℝ≥0)

MISSING

Distinct8708
Distinct (%)74.0%
Missing2879
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean9852.2997
Minimum3.63
Maximum163553.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:08.935384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3.63
5-th percentile503
Q12000
median5223.68
Q312955.895
95-th percentile34316.804
Maximum163553.98
Range163550.35
Interquartile range (IQR)10955.895

Descriptive statistics

Standard deviation12392.20703
Coefficient of variation (CV)1.257798424
Kurtosis13.59465713
Mean9852.2997
Median Absolute Deviation (MAD)4062.83
Skewness2.88088717
Sum115932010.6
Variance153566795.2
MonotonicityNot monotonic
2022-08-18T01:37:08.980214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000141
 
1.0%
50094
 
0.6%
60077
 
0.5%
1005.974
 
0.5%
50369
 
0.5%
804.755
 
0.4%
603.653
 
0.4%
580.4144
 
0.3%
696.541
 
0.3%
3482.4536
 
0.2%
Other values (8698)11083
75.7%
(Missing)2879
 
19.7%
ValueCountFrequency (%)
3.631
< 0.1%
4.081
< 0.1%
13.421
< 0.1%
19.341
< 0.1%
401
< 0.1%
ValueCountFrequency (%)
163553.981
 
< 0.1%
144386.52
< 0.1%
126273.611
 
< 0.1%
114271.291
 
< 0.1%
110545.123
< 0.1%

swo_ind_closed_paid_loans_lenders_number
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)0.1%
Missing998
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean3.059422626
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.023492image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum18
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.146513159
Coefficient of variation (CV)0.7016072707
Kurtosis2.967934863
Mean3.059422626
Median Absolute Deviation (MAD)1
Skewness1.514310803
Sum41755
Variance4.60751874
MonotonicityNot monotonic
2022-08-18T01:37:09.058970image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
13640
24.9%
23254
22.2%
32388
16.3%
41613
11.0%
51006
 
6.9%
6701
 
4.8%
7423
 
2.9%
8256
 
1.7%
9167
 
1.1%
1091
 
0.6%
Other values (8)109
 
0.7%
(Missing)998
 
6.8%
ValueCountFrequency (%)
13640
24.9%
23254
22.2%
32388
16.3%
41613
11.0%
51006
 
6.9%
ValueCountFrequency (%)
181
 
< 0.1%
171
 
< 0.1%
164
< 0.1%
155
< 0.1%
144
< 0.1%

swo_ind_loans_number
Real number (ℝ≥0)

MISSING

Distinct116
Distinct (%)0.8%
Missing820
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean13.26153624
Minimum1
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.104267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median9
Q317
95-th percentile40
Maximum173
Range172
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.86759472
Coefficient of variation (CV)1.045700474
Kurtosis14.44108849
Mean13.26153624
Median Absolute Deviation (MAD)5
Skewness2.905023935
Sum183354
Variance192.3101834
MonotonicityNot monotonic
2022-08-18T01:37:09.153840image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21070
 
7.3%
41050
 
7.2%
5871
 
5.9%
3869
 
5.9%
6788
 
5.4%
7761
 
5.2%
8720
 
4.9%
9619
 
4.2%
10580
 
4.0%
1573
 
3.9%
Other values (106)5925
40.5%
(Missing)820
 
5.6%
ValueCountFrequency (%)
1573
3.9%
21070
7.3%
3869
5.9%
41050
7.2%
5871
5.9%
ValueCountFrequency (%)
1731
< 0.1%
1632
< 0.1%
1601
< 0.1%
1551
< 0.1%
1502
< 0.1%

swo_ind_overdue_loans_number
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.6%
Missing13802
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.099526066
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.196368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4296814048
Coefficient of variation (CV)0.3907878294
Kurtosis30.35078264
Mean1.099526066
Median Absolute Deviation (MAD)0
Skewness5.22650865
Sum928
Variance0.1846261096
MonotonicityNot monotonic
2022-08-18T01:37:09.231597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1789
 
5.4%
236
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
(Missing)13802
94.2%
ValueCountFrequency (%)
1789
5.4%
236
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
 
0.1%
310
 
0.1%
236
 
0.2%
1789
5.4%

swo_ind_same_ip_different_pesel_count
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)1.5%
Missing13222
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean3.931179775
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.268474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile10
Maximum50
Range49
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.231894043
Coefficient of variation (CV)2.348377477
Kurtosis19.56417189
Mean3.931179775
Median Absolute Deviation (MAD)0
Skewness4.53138517
Sum5598
Variance85.22786762
MonotonicityNot monotonic
2022-08-18T01:37:09.305636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1747
 
5.1%
2277
 
1.9%
3166
 
1.1%
463
 
0.4%
5051
 
0.3%
539
 
0.3%
726
 
0.2%
813
 
0.1%
612
 
0.1%
95
 
< 0.1%
Other values (11)25
 
0.2%
(Missing)13222
90.3%
ValueCountFrequency (%)
1747
5.1%
2277
 
1.9%
3166
 
1.1%
463
 
0.4%
539
 
0.3%
ValueCountFrequency (%)
5051
0.3%
401
 
< 0.1%
241
 
< 0.1%
223
 
< 0.1%
212
 
< 0.1%
Distinct17
Distinct (%)1.2%
Missing13222
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean3.325842697
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.340324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum50
Range49
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.189456246
Coefficient of variation (CV)2.763045966
Kurtosis21.05629068
Mean3.325842697
Median Absolute Deviation (MAD)0
Skewness4.741355893
Sum4736
Variance84.44610611
MonotonicityNot monotonic
2022-08-18T01:37:09.375747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1988
 
6.7%
2243
 
1.7%
389
 
0.6%
5051
 
0.3%
416
 
0.1%
59
 
0.1%
65
 
< 0.1%
85
 
< 0.1%
214
 
< 0.1%
93
 
< 0.1%
Other values (7)11
 
0.1%
(Missing)13222
90.3%
ValueCountFrequency (%)
1988
6.7%
2243
 
1.7%
389
 
0.6%
416
 
0.1%
59
 
0.1%
ValueCountFrequency (%)
5051
0.3%
301
 
< 0.1%
214
 
< 0.1%
191
 
< 0.1%
182
 
< 0.1%

value
Categorical

Distinct2
Distinct (%)< 0.1%
Missing46
Missing (%)0.3%
Memory size114.5 KiB
UNKNOWN
11070 
ADULT
3530 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowADULT
2nd rowADULT
3rd rowUNKNOWN
4th rowADULT
5th rowUNKNOWN

Common Values

ValueCountFrequency (%)
UNKNOWN11070
75.6%
ADULT3530
 
24.1%
(Missing)46
 
0.3%

Category Frequency Plot

2022-08-18T01:37:09.414247image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

chap_coef
Real number (ℝ≥0)

MISSING

Distinct482
Distinct (%)4.1%
Missing2807
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean0.3146909677
Minimum0.011627907
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.452473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.011627907
5-th percentile0.0680303029
Q10.166666667
median0.285714286
Q30.444444444
95-th percentile0.666666667
Maximum1
Range0.988372093
Interquartile range (IQR)0.277777777

Descriptive statistics

Standard deviation0.1891402532
Coefficient of variation (CV)0.6010348963
Kurtosis1.054115879
Mean0.3146909677
Median Absolute Deviation (MAD)0.131868132
Skewness0.9164783743
Sum3725.626367
Variance0.03577403537
MonotonicityNot monotonic
2022-08-18T01:37:09.500837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.51557
 
10.6%
0.333333333961
 
6.6%
0.25747
 
5.1%
0.2510
 
3.5%
0.4462
 
3.2%
0.166666667383
 
2.6%
0.142857143316
 
2.2%
0.285714286271
 
1.9%
0.125243
 
1.7%
0.666666667220
 
1.5%
Other values (472)6169
42.1%
(Missing)2807
19.2%
ValueCountFrequency (%)
0.0116279071
< 0.1%
0.0129870131
< 0.1%
0.0149253732
< 0.1%
0.0158730161
< 0.1%
0.0163934431
< 0.1%
ValueCountFrequency (%)
1156
1.1%
0.8888888892
 
< 0.1%
0.8758
 
0.1%
0.8571428574
 
< 0.1%
0.83333333318
 
0.1%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04595111293
Minimum0
Maximum9
Zeros14180
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.540738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.295415627
Coefficient of variation (CV)6.428911253
Kurtosis130.3049097
Mean0.04595111293
Median Absolute Deviation (MAD)0
Skewness9.370283604
Sum673
Variance0.08727039269
MonotonicityNot monotonic
2022-08-18T01:37:09.569959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
014180
96.8%
1329
 
2.2%
291
 
0.6%
329
 
0.2%
414
 
0.1%
52
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
014180
96.8%
1329
 
2.2%
291
 
0.6%
329
 
0.2%
414
 
0.1%
ValueCountFrequency (%)
91
 
< 0.1%
52
 
< 0.1%
414
 
0.1%
329
 
0.2%
291
0.6%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08801037826
Minimum0
Maximum13
Zeros13823
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.607184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4397114593
Coefficient of variation (CV)4.996131911
Kurtosis104.9410798
Mean0.08801037826
Median Absolute Deviation (MAD)0
Skewness8.017849749
Sum1289
Variance0.1933461675
MonotonicityNot monotonic
2022-08-18T01:37:09.686574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013823
94.4%
1554
 
3.8%
2153
 
1.0%
371
 
0.5%
426
 
0.2%
511
 
0.1%
66
 
< 0.1%
81
 
< 0.1%
131
 
< 0.1%
ValueCountFrequency (%)
013823
94.4%
1554
 
3.8%
2153
 
1.0%
371
 
0.5%
426
 
0.2%
ValueCountFrequency (%)
131
 
< 0.1%
81
 
< 0.1%
66
 
< 0.1%
511
0.1%
426
0.2%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.162569985
Minimum0
Maximum16
Zeros13307
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.743797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6620947579
Coefficient of variation (CV)4.072675273
Kurtosis67.51191311
Mean0.162569985
Median Absolute Deviation (MAD)0
Skewness6.679743448
Sum2381
Variance0.4383694685
MonotonicityNot monotonic
2022-08-18T01:37:09.791085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
013307
90.9%
1838
 
5.7%
2243
 
1.7%
3129
 
0.9%
457
 
0.4%
533
 
0.2%
618
 
0.1%
714
 
0.1%
94
 
< 0.1%
111
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
013307
90.9%
1838
 
5.7%
2243
 
1.7%
3129
 
0.9%
457
 
0.4%
ValueCountFrequency (%)
161
 
< 0.1%
111
 
< 0.1%
94
 
< 0.1%
81
 
< 0.1%
714
0.1%
Distinct26
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5215075789
Minimum0
Maximum37
Zeros11768
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.857504image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.68541076
Coefficient of variation (CV)3.231804922
Kurtosis97.33419357
Mean0.5215075789
Median Absolute Deviation (MAD)0
Skewness7.50499107
Sum7638
Variance2.840609431
MonotonicityNot monotonic
2022-08-18T01:37:09.897358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
011768
80.3%
11373
 
9.4%
2567
 
3.9%
3330
 
2.3%
4182
 
1.2%
5115
 
0.8%
682
 
0.6%
777
 
0.5%
841
 
0.3%
925
 
0.2%
Other values (16)86
 
0.6%
ValueCountFrequency (%)
011768
80.3%
11373
 
9.4%
2567
 
3.9%
3330
 
2.3%
4182
 
1.2%
ValueCountFrequency (%)
371
 
< 0.1%
363
< 0.1%
321
 
< 0.1%
271
 
< 0.1%
261
 
< 0.1%
Distinct50
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.346920661
Minimum0
Maximum85
Zeros10110
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:09.947121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum85
Range85
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.957768667
Coefficient of variation (CV)2.938382921
Kurtosis101.0311629
Mean1.346920661
Median Absolute Deviation (MAD)0
Skewness7.776784575
Sum19727
Variance15.66393282
MonotonicityNot monotonic
2022-08-18T01:37:09.991539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010110
69.0%
11600
 
10.9%
2788
 
5.4%
3522
 
3.6%
4325
 
2.2%
5253
 
1.7%
7206
 
1.4%
6173
 
1.2%
8127
 
0.9%
985
 
0.6%
Other values (40)457
 
3.1%
ValueCountFrequency (%)
010110
69.0%
11600
 
10.9%
2788
 
5.4%
3522
 
3.6%
4325
 
2.2%
ValueCountFrequency (%)
851
 
< 0.1%
833
< 0.1%
771
 
< 0.1%
682
< 0.1%
503
< 0.1%
Distinct74
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.695070326
Minimum0
Maximum100
Zeros8657
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.040656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum100
Range100
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.800498968
Coefficient of variation (CV)2.523310394
Kurtosis48.20179243
Mean2.695070326
Median Absolute Deviation (MAD)0
Skewness5.635987116
Sum39472
Variance46.24678621
MonotonicityNot monotonic
2022-08-18T01:37:10.087547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08657
59.1%
11649
 
11.3%
2878
 
6.0%
3599
 
4.1%
4424
 
2.9%
5355
 
2.4%
6277
 
1.9%
7225
 
1.5%
8204
 
1.4%
9163
 
1.1%
Other values (64)1215
 
8.3%
ValueCountFrequency (%)
08657
59.1%
11649
 
11.3%
2878
 
6.0%
3599
 
4.1%
4424
 
2.9%
ValueCountFrequency (%)
1007
< 0.1%
922
 
< 0.1%
821
 
< 0.1%
811
 
< 0.1%
801
 
< 0.1%
Distinct92
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.722586372
Minimum0
Maximum100
Zeros7622
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.137916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile24
Maximum100
Range100
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.4040721
Coefficient of variation (CV)2.203045382
Kurtosis23.13719317
Mean4.722586372
Median Absolute Deviation (MAD)0
Skewness4.126436741
Sum69167
Variance108.2447162
MonotonicityNot monotonic
2022-08-18T01:37:10.185213image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07622
52.0%
11459
 
10.0%
2850
 
5.8%
3555
 
3.8%
4474
 
3.2%
5416
 
2.8%
6336
 
2.3%
8257
 
1.8%
7252
 
1.7%
9216
 
1.5%
Other values (82)2209
 
15.1%
ValueCountFrequency (%)
07622
52.0%
11459
 
10.0%
2850
 
5.8%
3555
 
3.8%
4474
 
3.2%
ValueCountFrequency (%)
10020
0.1%
981
 
< 0.1%
971
 
< 0.1%
953
 
< 0.1%
941
 
< 0.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03454868223
Minimum0
Maximum5
Zeros14180
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.221426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2041759941
Coefficient of variation (CV)5.909805554
Kurtosis94.47614218
Mean0.03454868223
Median Absolute Deviation (MAD)0
Skewness7.87988109
Sum506
Variance0.04168783659
MonotonicityNot monotonic
2022-08-18T01:37:10.255069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
014180
96.8%
1440
 
3.0%
218
 
0.1%
44
 
< 0.1%
33
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
014180
96.8%
1440
 
3.0%
218
 
0.1%
33
 
< 0.1%
44
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
44
 
< 0.1%
33
 
< 0.1%
218
 
0.1%
1440
3.0%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06582001912
Minimum0
Maximum7
Zeros13823
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.433162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2984596282
Coefficient of variation (CV)4.534481031
Kurtosis68.84514895
Mean0.06582001912
Median Absolute Deviation (MAD)0
Skewness6.519940886
Sum964
Variance0.08907814965
MonotonicityNot monotonic
2022-08-18T01:37:10.463425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
013823
94.4%
1715
 
4.9%
292
 
0.6%
37
 
< 0.1%
55
 
< 0.1%
43
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
013823
94.4%
1715
 
4.9%
292
 
0.6%
37
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
55
 
< 0.1%
43
 
< 0.1%
37
 
< 0.1%
292
0.6%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1194865492
Minimum0
Maximum9
Zeros13307
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.497096image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4311923443
Coefficient of variation (CV)3.608710328
Kurtosis41.2554723
Mean0.1194865492
Median Absolute Deviation (MAD)0
Skewness5.161255043
Sum1750
Variance0.1859268378
MonotonicityNot monotonic
2022-08-18T01:37:10.527154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
013307
90.9%
11045
 
7.1%
2213
 
1.5%
359
 
0.4%
414
 
0.1%
56
 
< 0.1%
71
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
013307
90.9%
11045
 
7.1%
2213
 
1.5%
359
 
0.4%
414
 
0.1%
ValueCountFrequency (%)
91
 
< 0.1%
71
 
< 0.1%
56
 
< 0.1%
414
 
0.1%
359
0.4%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3232964632
Minimum0
Maximum25
Zeros11768
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.558892image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8659639508
Coefficient of variation (CV)2.678544461
Kurtosis114.3908103
Mean0.3232964632
Median Absolute Deviation (MAD)0
Skewness6.862276447
Sum4735
Variance0.7498935641
MonotonicityNot monotonic
2022-08-18T01:37:10.593923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
011768
80.3%
11786
 
12.2%
2690
 
4.7%
3235
 
1.6%
4100
 
0.7%
533
 
0.2%
618
 
0.1%
74
 
< 0.1%
83
 
< 0.1%
133
 
< 0.1%
Other values (5)6
 
< 0.1%
ValueCountFrequency (%)
011768
80.3%
11786
 
12.2%
2690
 
4.7%
3235
 
1.6%
4100
 
0.7%
ValueCountFrequency (%)
251
 
< 0.1%
231
 
< 0.1%
191
 
< 0.1%
133
< 0.1%
122
< 0.1%
Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6948654923
Minimum0
Maximum28
Zeros10110
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.631597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.503276355
Coefficient of variation (CV)2.163406259
Kurtosis51.01654886
Mean0.6948654923
Median Absolute Deviation (MAD)0
Skewness4.97067733
Sum10177
Variance2.259839801
MonotonicityNot monotonic
2022-08-18T01:37:10.688786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
010110
69.0%
12082
 
14.2%
21097
 
7.5%
3650
 
4.4%
4310
 
2.1%
5168
 
1.1%
689
 
0.6%
755
 
0.4%
828
 
0.2%
1016
 
0.1%
Other values (13)41
 
0.3%
ValueCountFrequency (%)
010110
69.0%
12082
 
14.2%
21097
 
7.5%
3650
 
4.4%
4310
 
2.1%
ValueCountFrequency (%)
281
 
< 0.1%
272
< 0.1%
261
 
< 0.1%
243
< 0.1%
221
 
< 0.1%
Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.238699986
Minimum0
Maximum37
Zeros8657
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.739463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum37
Range37
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.343431211
Coefficient of variation (CV)1.891847289
Kurtosis30.35817481
Mean1.238699986
Median Absolute Deviation (MAD)0
Skewness4.01496716
Sum18142
Variance5.491669843
MonotonicityNot monotonic
2022-08-18T01:37:10.778734image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
08657
59.1%
12120
 
14.5%
21281
 
8.7%
3826
 
5.6%
4594
 
4.1%
5382
 
2.6%
6261
 
1.8%
7168
 
1.1%
8120
 
0.8%
952
 
0.4%
Other values (21)185
 
1.3%
ValueCountFrequency (%)
08657
59.1%
12120
 
14.5%
21281
 
8.7%
3826
 
5.6%
4594
 
4.1%
ValueCountFrequency (%)
371
 
< 0.1%
362
< 0.1%
331
 
< 0.1%
291
 
< 0.1%
284
< 0.1%
Distinct40
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.939847057
Minimum0
Maximum53
Zeros7622
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.821212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile8
Maximum53
Range53
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.397024437
Coefficient of variation (CV)1.751181581
Kurtosis20.28314136
Mean1.939847057
Median Absolute Deviation (MAD)0
Skewness3.423061923
Sum28411
Variance11.53977503
MonotonicityNot monotonic
2022-08-18T01:37:10.864171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
07622
52.0%
11963
 
13.4%
21232
 
8.4%
3935
 
6.4%
4737
 
5.0%
5528
 
3.6%
6369
 
2.5%
7291
 
2.0%
8241
 
1.6%
9154
 
1.1%
Other values (30)574
 
3.9%
ValueCountFrequency (%)
07622
52.0%
11963
 
13.4%
21232
 
8.4%
3935
 
6.4%
4737
 
5.0%
ValueCountFrequency (%)
531
< 0.1%
451
< 0.1%
401
< 0.1%
381
< 0.1%
371
< 0.1%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07592516728
Minimum0
Maximum10
Zeros13825
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.900625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3713512567
Coefficient of variation (CV)4.891016641
Kurtosis136.6272554
Mean0.07592516728
Median Absolute Deviation (MAD)0
Skewness8.654298877
Sum1112
Variance0.1379017558
MonotonicityNot monotonic
2022-08-18T01:37:10.932699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
013825
94.4%
1631
 
4.3%
2129
 
0.9%
340
 
0.3%
417
 
0.1%
103
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013825
94.4%
1631
 
4.3%
2129
 
0.9%
340
 
0.3%
417
 
0.1%
ValueCountFrequency (%)
103
 
< 0.1%
51
 
< 0.1%
417
 
0.1%
340
 
0.3%
2129
0.9%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1179844326
Minimum0
Maximum10
Zeros13454
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:10.966236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.473837396
Coefficient of variation (CV)4.016100984
Kurtosis66.05295661
Mean0.1179844326
Median Absolute Deviation (MAD)0
Skewness6.355089628
Sum1728
Variance0.2245218778
MonotonicityNot monotonic
2022-08-18T01:37:10.998033image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
013454
91.9%
1853
 
5.8%
2214
 
1.5%
384
 
0.6%
426
 
0.2%
511
 
0.1%
103
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
013454
91.9%
1853
 
5.8%
2214
 
1.5%
384
 
0.6%
426
 
0.2%
ValueCountFrequency (%)
103
 
< 0.1%
61
 
< 0.1%
511
 
0.1%
426
 
0.2%
384
0.6%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1876280213
Minimum0
Maximum11
Zeros12970
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.031584image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6527719186
Coefficient of variation (CV)3.479074789
Kurtosis44.52971589
Mean0.1876280213
Median Absolute Deviation (MAD)0
Skewness5.486529725
Sum2748
Variance0.4261111777
MonotonicityNot monotonic
2022-08-18T01:37:11.062808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
012970
88.6%
11091
 
7.4%
2318
 
2.2%
3151
 
1.0%
464
 
0.4%
529
 
0.2%
613
 
0.1%
103
 
< 0.1%
73
 
< 0.1%
112
 
< 0.1%
ValueCountFrequency (%)
012970
88.6%
11091
 
7.4%
2318
 
2.2%
3151
 
1.0%
464
 
0.4%
ValueCountFrequency (%)
112
 
< 0.1%
103
 
< 0.1%
82
 
< 0.1%
73
 
< 0.1%
613
0.1%
Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4918749147
Minimum0
Maximum38
Zeros11493
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.096915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.378678124
Coefficient of variation (CV)2.802903916
Kurtosis66.7993514
Mean0.4918749147
Median Absolute Deviation (MAD)0
Skewness5.810137104
Sum7204
Variance1.900753371
MonotonicityNot monotonic
2022-08-18T01:37:11.131152image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
011493
78.5%
11614
 
11.0%
2675
 
4.6%
3299
 
2.0%
4205
 
1.4%
5141
 
1.0%
667
 
0.5%
753
 
0.4%
841
 
0.3%
914
 
0.1%
Other values (9)44
 
0.3%
ValueCountFrequency (%)
011493
78.5%
11614
 
11.0%
2675
 
4.6%
3299
 
2.0%
4205
 
1.4%
ValueCountFrequency (%)
381
 
< 0.1%
175
< 0.1%
163
< 0.1%
154
< 0.1%
145
< 0.1%
Distinct30
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.004233238
Minimum0
Maximum39
Zeros10299
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.171990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum39
Range39
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.468590501
Coefficient of variation (CV)2.458184422
Kurtosis30.35242752
Mean1.004233238
Median Absolute Deviation (MAD)0
Skewness4.531040683
Sum14708
Variance6.09393906
MonotonicityNot monotonic
2022-08-18T01:37:11.212149image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
010299
70.3%
11572
 
10.7%
2878
 
6.0%
3550
 
3.8%
4375
 
2.6%
5250
 
1.7%
6176
 
1.2%
7122
 
0.8%
888
 
0.6%
971
 
0.5%
Other values (20)265
 
1.8%
ValueCountFrequency (%)
010299
70.3%
11572
 
10.7%
2878
 
6.0%
3550
 
3.8%
4375
 
2.6%
ValueCountFrequency (%)
391
< 0.1%
371
< 0.1%
322
< 0.1%
272
< 0.1%
261
< 0.1%
Distinct39
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.486822341
Minimum0
Maximum69
Zeros9434
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.256116image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum69
Range69
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.412856586
Coefficient of variation (CV)2.295403084
Kurtosis34.08535326
Mean1.486822341
Median Absolute Deviation (MAD)0
Skewness4.482439237
Sum21776
Variance11.64759008
MonotonicityNot monotonic
2022-08-18T01:37:11.296664image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
09434
64.4%
11727
 
11.8%
2888
 
6.1%
3579
 
4.0%
4453
 
3.1%
5324
 
2.2%
6224
 
1.5%
7214
 
1.5%
8147
 
1.0%
9127
 
0.9%
Other values (29)529
 
3.6%
ValueCountFrequency (%)
09434
64.4%
11727
 
11.8%
2888
 
6.1%
3579
 
4.0%
4453
 
3.1%
ValueCountFrequency (%)
691
< 0.1%
511
< 0.1%
451
< 0.1%
421
< 0.1%
411
< 0.1%
Distinct52
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.897582958
Minimum0
Maximum86
Zeros8863
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.343978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum86
Range86
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.291307597
Coefficient of variation (CV)2.261459811
Kurtosis37.96673847
Mean1.897582958
Median Absolute Deviation (MAD)0
Skewness4.713494085
Sum27792
Variance18.41532089
MonotonicityNot monotonic
2022-08-18T01:37:11.387873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08863
60.5%
11782
 
12.2%
2927
 
6.3%
3657
 
4.5%
4490
 
3.3%
5326
 
2.2%
6264
 
1.8%
7236
 
1.6%
8167
 
1.1%
9150
 
1.0%
Other values (42)784
 
5.4%
ValueCountFrequency (%)
08863
60.5%
11782
 
12.2%
2927
 
6.3%
3657
 
4.5%
4490
 
3.3%
ValueCountFrequency (%)
861
< 0.1%
691
< 0.1%
561
< 0.1%
551
< 0.1%
531
< 0.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06076744504
Minimum0
Maximum5
Zeros13825
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.423762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2638989862
Coefficient of variation (CV)4.342769159
Kurtosis45.98748248
Mean0.06076744504
Median Absolute Deviation (MAD)0
Skewness5.457749485
Sum890
Variance0.0696426749
MonotonicityNot monotonic
2022-08-18T01:37:11.455465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013825
94.4%
1765
 
5.2%
250
 
0.3%
53
 
< 0.1%
32
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
013825
94.4%
1765
 
5.2%
250
 
0.3%
32
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
53
 
< 0.1%
41
 
< 0.1%
32
 
< 0.1%
250
 
0.3%
1765
5.2%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09436023488
Minimum0
Maximum5
Zeros13454
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.486545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3426638516
Coefficient of variation (CV)3.631443394
Kurtosis27.91486601
Mean0.09436023488
Median Absolute Deviation (MAD)0
Skewness4.502852585
Sum1382
Variance0.1174185152
MonotonicityNot monotonic
2022-08-18T01:37:11.518357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013454
91.9%
11032
 
7.0%
2141
 
1.0%
311
 
0.1%
45
 
< 0.1%
53
 
< 0.1%
ValueCountFrequency (%)
013454
91.9%
11032
 
7.0%
2141
 
1.0%
311
 
0.1%
45
 
< 0.1%
ValueCountFrequency (%)
53
 
< 0.1%
45
 
< 0.1%
311
 
0.1%
2141
 
1.0%
11032
7.0%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1457735901
Minimum0
Maximum6
Zeros12970
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.549676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4528859988
Coefficient of variation (CV)3.106776739
Kurtosis21.37592983
Mean0.1457735901
Median Absolute Deviation (MAD)0
Skewness3.975954905
Sum2135
Variance0.2051057279
MonotonicityNot monotonic
2022-08-18T01:37:11.579037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
012970
88.6%
11311
 
9.0%
2296
 
2.0%
354
 
0.4%
47
 
< 0.1%
56
 
< 0.1%
62
 
< 0.1%
ValueCountFrequency (%)
012970
88.6%
11311
 
9.0%
2296
 
2.0%
354
 
0.4%
47
 
< 0.1%
ValueCountFrequency (%)
62
 
< 0.1%
56
 
< 0.1%
47
 
< 0.1%
354
 
0.4%
2296
2.0%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.325344804
Minimum0
Maximum7
Zeros11493
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.611426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7342162768
Coefficient of variation (CV)2.256732757
Kurtosis10.46396915
Mean0.325344804
Median Absolute Deviation (MAD)0
Skewness2.891323761
Sum4765
Variance0.5390735411
MonotonicityNot monotonic
2022-08-18T01:37:11.641826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
011493
78.5%
12054
 
14.0%
2738
 
5.0%
3254
 
1.7%
477
 
0.5%
518
 
0.1%
69
 
0.1%
73
 
< 0.1%
ValueCountFrequency (%)
011493
78.5%
12054
 
14.0%
2738
 
5.0%
3254
 
1.7%
477
 
0.5%
ValueCountFrequency (%)
73
 
< 0.1%
69
 
0.1%
518
 
0.1%
477
 
0.5%
3254
1.7%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5688242524
Minimum0
Maximum11
Zeros10299
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.677998image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.096881739
Coefficient of variation (CV)1.928331527
Kurtosis8.480784875
Mean0.5688242524
Median Absolute Deviation (MAD)0
Skewness2.553080853
Sum8331
Variance1.20314955
MonotonicityNot monotonic
2022-08-18T01:37:11.709123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
010299
70.3%
12112
 
14.4%
21221
 
8.3%
3586
 
4.0%
4252
 
1.7%
5104
 
0.7%
642
 
0.3%
714
 
0.1%
89
 
0.1%
104
 
< 0.1%
Other values (2)3
 
< 0.1%
ValueCountFrequency (%)
010299
70.3%
12112
 
14.4%
21221
 
8.3%
3586
 
4.0%
4252
 
1.7%
ValueCountFrequency (%)
111
 
< 0.1%
104
 
< 0.1%
92
 
< 0.1%
89
0.1%
714
0.1%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7908643998
Minimum0
Maximum12
Zeros9434
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.741311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.396293627
Coefficient of variation (CV)1.765528487
Kurtosis6.81182804
Mean0.7908643998
Median Absolute Deviation (MAD)0
Skewness2.33883602
Sum11583
Variance1.949635893
MonotonicityNot monotonic
2022-08-18T01:37:11.775871image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
09434
64.4%
12243
 
15.3%
21256
 
8.6%
3860
 
5.9%
4415
 
2.8%
5233
 
1.6%
6106
 
0.7%
749
 
0.3%
828
 
0.2%
912
 
0.1%
Other values (3)10
 
0.1%
ValueCountFrequency (%)
09434
64.4%
12243
 
15.3%
21256
 
8.6%
3860
 
5.9%
4415
 
2.8%
ValueCountFrequency (%)
124
 
< 0.1%
114
 
< 0.1%
102
 
< 0.1%
912
0.1%
828
0.2%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9720060085
Minimum0
Maximum15
Zeros8863
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:11.811306image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.644144404
Coefficient of variation (CV)1.691496132
Kurtosis6.443410329
Mean0.9720060085
Median Absolute Deviation (MAD)0
Skewness2.283807974
Sum14236
Variance2.70321082
MonotonicityNot monotonic
2022-08-18T01:37:11.844376image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
08863
60.5%
12338
 
16.0%
21269
 
8.7%
3881
 
6.0%
4570
 
3.9%
5353
 
2.4%
6180
 
1.2%
782
 
0.6%
844
 
0.3%
930
 
0.2%
Other values (5)36
 
0.2%
ValueCountFrequency (%)
08863
60.5%
12338
 
16.0%
21269
 
8.7%
3881
 
6.0%
4570
 
3.9%
ValueCountFrequency (%)
151
 
< 0.1%
131
 
< 0.1%
126
 
< 0.1%
1116
0.1%
1012
0.1%

swo_ind_active_loans_number_p0_1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07032636897
Minimum0
Maximum4
Zeros13772
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.026828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3006268448
Coefficient of variation (CV)4.274738611
Kurtosis32.55780351
Mean0.07032636897
Median Absolute Deviation (MAD)0
Skewness5.116726722
Sum1030
Variance0.09037649983
MonotonicityNot monotonic
2022-08-18T01:37:12.059488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
013772
94.0%
1740
 
5.1%
2117
 
0.8%
312
 
0.1%
45
 
< 0.1%
ValueCountFrequency (%)
013772
94.0%
1740
 
5.1%
2117
 
0.8%
312
 
0.1%
45
 
< 0.1%
ValueCountFrequency (%)
45
 
< 0.1%
312
 
0.1%
2117
 
0.8%
1740
 
5.1%
013772
94.0%

swo_ind_active_loans_number_p0_3
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1930219855
Minimum0
Maximum6
Zeros12476
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.093422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5267398683
Coefficient of variation (CV)2.728911252
Kurtosis16.97428537
Mean0.1930219855
Median Absolute Deviation (MAD)0
Skewness3.564791295
Sum2827
Variance0.2774548888
MonotonicityNot monotonic
2022-08-18T01:37:12.122834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
012476
85.2%
11681
 
11.5%
2370
 
2.5%
385
 
0.6%
421
 
0.1%
511
 
0.1%
62
 
< 0.1%
ValueCountFrequency (%)
012476
85.2%
11681
 
11.5%
2370
 
2.5%
385
 
0.6%
421
 
0.1%
ValueCountFrequency (%)
62
 
< 0.1%
511
 
0.1%
421
 
0.1%
385
 
0.6%
2370
2.5%

swo_ind_active_loans_number_p0_7
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4377987164
Minimum0
Maximum9
Zeros10262
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.155510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8087450766
Coefficient of variation (CV)1.847298876
Kurtosis7.998050008
Mean0.4377987164
Median Absolute Deviation (MAD)0
Skewness2.439293171
Sum6412
Variance0.6540685989
MonotonicityNot monotonic
2022-08-18T01:37:12.184475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
010262
70.1%
13016
 
20.6%
2910
 
6.2%
3323
 
2.2%
492
 
0.6%
522
 
0.2%
620
 
0.1%
91
 
< 0.1%
ValueCountFrequency (%)
010262
70.1%
13016
 
20.6%
2910
 
6.2%
3323
 
2.2%
492
 
0.6%
ValueCountFrequency (%)
91
 
< 0.1%
620
 
0.1%
522
 
0.2%
492
 
0.6%
3323
2.2%

swo_ind_active_loans_number_p0_30
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.418749147
Minimum0
Maximum12
Zeros4677
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.215154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.468104304
Coefficient of variation (CV)1.034787797
Kurtosis1.995756059
Mean1.418749147
Median Absolute Deviation (MAD)1
Skewness1.300000428
Sum20779
Variance2.155330248
MonotonicityNot monotonic
2022-08-18T01:37:12.249193image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
04677
31.9%
14484
30.6%
22595
17.7%
31437
 
9.8%
4844
 
5.8%
5365
 
2.5%
6161
 
1.1%
756
 
0.4%
817
 
0.1%
95
 
< 0.1%
Other values (3)5
 
< 0.1%
ValueCountFrequency (%)
04677
31.9%
14484
30.6%
22595
17.7%
31437
 
9.8%
4844
 
5.8%
ValueCountFrequency (%)
121
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
95
 
< 0.1%
817
0.1%

swo_ind_active_loans_number_p0_90
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.057899768
Minimum0
Maximum15
Zeros3409
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.283164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.962135614
Coefficient of variation (CV)0.9534651031
Kurtosis2.299352224
Mean2.057899768
Median Absolute Deviation (MAD)1
Skewness1.307421712
Sum30140
Variance3.849976169
MonotonicityNot monotonic
2022-08-18T01:37:12.317544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
13671
25.1%
03409
23.3%
22763
18.9%
31835
12.5%
41256
 
8.6%
5808
 
5.5%
6436
 
3.0%
7228
 
1.6%
8125
 
0.9%
958
 
0.4%
Other values (6)57
 
0.4%
ValueCountFrequency (%)
03409
23.3%
13671
25.1%
22763
18.9%
31835
12.5%
41256
 
8.6%
ValueCountFrequency (%)
153
 
< 0.1%
142
 
< 0.1%
136
< 0.1%
129
0.1%
1111
0.1%

swo_ind_active_loans_number_p0_210
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3545678
Minimum0
Maximum23
Zeros3135
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.354699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.270864783
Coefficient of variation (CV)0.9644507935
Kurtosis3.283093545
Mean2.3545678
Median Absolute Deviation (MAD)1
Skewness1.452687898
Sum34485
Variance5.156826863
MonotonicityNot monotonic
2022-08-18T01:37:12.389233image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
13411
23.3%
03135
21.4%
22594
17.7%
31886
12.9%
41281
 
8.7%
5898
 
6.1%
6591
 
4.0%
7383
 
2.6%
8198
 
1.4%
9115
 
0.8%
Other values (10)154
 
1.1%
ValueCountFrequency (%)
03135
21.4%
13411
23.3%
22594
17.7%
31886
12.9%
41281
 
8.7%
ValueCountFrequency (%)
231
 
< 0.1%
221
 
< 0.1%
172
 
< 0.1%
165
< 0.1%
155
< 0.1%

swo_ind_active_loans_number_p0_360
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.531681005
Minimum0
Maximum24
Zeros2975
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.424613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.477854114
Coefficient of variation (CV)0.9787386757
Kurtosis3.858113973
Mean2.531681005
Median Absolute Deviation (MAD)1
Skewness1.579207773
Sum37079
Variance6.139761012
MonotonicityNot monotonic
2022-08-18T01:37:12.462230image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
13302
22.5%
02975
20.3%
22538
17.3%
31882
12.8%
41300
 
8.9%
5929
 
6.3%
6635
 
4.3%
7427
 
2.9%
8226
 
1.5%
9170
 
1.2%
Other values (13)262
 
1.8%
ValueCountFrequency (%)
02975
20.3%
13302
22.5%
22538
17.3%
31882
12.8%
41300
 
8.9%
ValueCountFrequency (%)
241
< 0.1%
222
< 0.1%
211
< 0.1%
191
< 0.1%
181
< 0.1%

swo_ind_active_loans_number_p0_plus
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.681619555
Minimum0
Maximum24
Zeros2807
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.498467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.635581205
Coefficient of variation (CV)0.9828318862
Kurtosis4.025129164
Mean2.681619555
Median Absolute Deviation (MAD)1
Skewness1.636563182
Sum39275
Variance6.946288288
MonotonicityNot monotonic
2022-08-18T01:37:12.536557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13228
22.0%
02807
19.2%
22519
17.2%
31877
12.8%
41363
9.3%
5908
 
6.2%
6643
 
4.4%
7469
 
3.2%
8279
 
1.9%
9195
 
1.3%
Other values (14)358
 
2.4%
ValueCountFrequency (%)
02807
19.2%
13228
22.0%
22519
17.2%
31877
12.8%
41363
9.3%
ValueCountFrequency (%)
242
< 0.1%
231
< 0.1%
212
< 0.1%
201
< 0.1%
191
< 0.1%

swo_ind_canceled_loans_number_p2_90
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01727434112
Minimum0
Maximum6
Zeros14446
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.569889image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1649833354
Coefficient of variation (CV)9.55077443
Kurtosis275.0928865
Mean0.01727434112
Median Absolute Deviation (MAD)0
Skewness13.66012925
Sum253
Variance0.02721950097
MonotonicityNot monotonic
2022-08-18T01:37:12.599001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
014446
98.6%
1160
 
1.1%
232
 
0.2%
36
 
< 0.1%
61
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
014446
98.6%
1160
 
1.1%
232
 
0.2%
36
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
51
 
< 0.1%
36
 
< 0.1%
232
 
0.2%
1160
1.1%

swo_ind_canceled_loans_number_p2_210
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03570940871
Minimum0
Maximum7
Zeros14318
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.631829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2860503193
Coefficient of variation (CV)8.010502824
Kurtosis175.1535101
Mean0.03570940871
Median Absolute Deviation (MAD)0
Skewness11.65322682
Sum523
Variance0.0818247852
MonotonicityNot monotonic
2022-08-18T01:37:12.662703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
014318
97.8%
1219
 
1.5%
264
 
0.4%
321
 
0.1%
413
 
0.1%
57
 
< 0.1%
72
 
< 0.1%
62
 
< 0.1%
ValueCountFrequency (%)
014318
97.8%
1219
 
1.5%
264
 
0.4%
321
 
0.1%
413
 
0.1%
ValueCountFrequency (%)
72
 
< 0.1%
62
 
< 0.1%
57
 
< 0.1%
413
0.1%
321
0.1%

swo_ind_canceled_loans_number_p2_360
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05393964222
Minimum0
Maximum8
Zeros14199
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.696874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3738999052
Coefficient of variation (CV)6.931820268
Kurtosis126.2338698
Mean0.05393964222
Median Absolute Deviation (MAD)0
Skewness9.948080595
Sum790
Variance0.1398011391
MonotonicityNot monotonic
2022-08-18T01:37:12.729373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
014199
96.9%
1270
 
1.8%
294
 
0.6%
334
 
0.2%
429
 
0.2%
513
 
0.1%
83
 
< 0.1%
63
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
014199
96.9%
1270
 
1.8%
294
 
0.6%
334
 
0.2%
429
 
0.2%
ValueCountFrequency (%)
83
 
< 0.1%
71
 
< 0.1%
63
 
< 0.1%
513
0.1%
429
0.2%

swo_ind_canceled_loans_number_p2_plus
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.101939096
Minimum0
Maximum19
Zeros13977
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.765219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6840525981
Coefficient of variation (CV)6.71040479
Kurtosis202.7202302
Mean0.101939096
Median Absolute Deviation (MAD)0
Skewness12.13810693
Sum1493
Variance0.467927957
MonotonicityNot monotonic
2022-08-18T01:37:12.798645image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
013977
95.4%
1392
 
2.7%
2113
 
0.8%
352
 
0.4%
444
 
0.3%
514
 
0.1%
613
 
0.1%
712
 
0.1%
88
 
0.1%
125
 
< 0.1%
Other values (6)16
 
0.1%
ValueCountFrequency (%)
013977
95.4%
1392
 
2.7%
2113
 
0.8%
352
 
0.4%
444
 
0.3%
ValueCountFrequency (%)
192
 
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
125
< 0.1%
114
< 0.1%

swo_ind_loans_amount_p0_1
Real number (ℝ≥0)

ZEROS

Distinct238
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.7477632
Minimum0
Maximum24766.27
Zeros13770
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.841934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile580.41
Maximum24766.27
Range24766.27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation703.4951263
Coefficient of variation (CV)5.684911856
Kurtosis182.9565
Mean123.7477632
Median Absolute Deviation (MAD)0
Skewness10.42422226
Sum1812409.74
Variance494905.3927
MonotonicityNot monotonic
2022-08-18T01:37:12.889400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013770
94.0%
100061
 
0.4%
50052
 
0.4%
60037
 
0.3%
300037
 
0.3%
150034
 
0.2%
270028
 
0.2%
80022
 
0.2%
200019
 
0.1%
120019
 
0.1%
Other values (228)567
 
3.9%
ValueCountFrequency (%)
013770
94.0%
11
 
< 0.1%
1003
 
< 0.1%
116.093
 
< 0.1%
20015
 
0.1%
ValueCountFrequency (%)
24766.271
 
< 0.1%
124001
 
< 0.1%
120004
< 0.1%
11864.911
 
< 0.1%
11273.061
 
< 0.1%

swo_ind_loans_amount_p0_3
Real number (ℝ≥0)

ZEROS

Distinct554
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean379.3613942
Minimum0
Maximum29320.59
Zeros12461
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:12.936570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2521.8525
Maximum29320.59
Range29320.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1390.682941
Coefficient of variation (CV)3.665852567
Kurtosis68.65215761
Mean379.3613942
Median Absolute Deviation (MAD)0
Skewness6.652007861
Sum5556126.98
Variance1933999.042
MonotonicityNot monotonic
2022-08-18T01:37:12.980665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012461
85.1%
1000161
 
1.1%
500105
 
0.7%
60097
 
0.7%
150063
 
0.4%
200062
 
0.4%
300053
 
0.4%
120051
 
0.3%
80051
 
0.3%
580.4142
 
0.3%
Other values (544)1500
 
10.2%
ValueCountFrequency (%)
012461
85.1%
11
 
< 0.1%
1008
 
0.1%
116.096
 
< 0.1%
117.451
 
< 0.1%
ValueCountFrequency (%)
29320.591
< 0.1%
24766.271
< 0.1%
24230.341
< 0.1%
24062.912
< 0.1%
22737.591
< 0.1%

swo_ind_loans_amount_p0_7
Real number (ℝ≥0)

ZEROS

Distinct1187
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean938.5042442
Minimum0
Maximum36864.91
Zeros10217
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.028708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3626.685
95-th percentile5367.935
Maximum36864.91
Range36864.91
Interquartile range (IQR)626.685

Descriptive statistics

Standard deviation2414.706771
Coefficient of variation (CV)2.572931115
Kurtosis30.75958558
Mean938.5042442
Median Absolute Deviation (MAD)0
Skewness4.656067294
Sum13745333.16
Variance5830808.79
MonotonicityNot monotonic
2022-08-18T01:37:13.073764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010217
69.8%
1000297
 
2.0%
500192
 
1.3%
600177
 
1.2%
1500141
 
1.0%
2000115
 
0.8%
3000107
 
0.7%
80097
 
0.7%
120091
 
0.6%
20070
 
0.5%
Other values (1177)3142
 
21.5%
ValueCountFrequency (%)
010217
69.8%
10010
 
0.1%
116.096
 
< 0.1%
117.451
 
< 0.1%
126.091
 
< 0.1%
ValueCountFrequency (%)
36864.911
< 0.1%
32333.871
< 0.1%
28964.911
< 0.1%
27964.911
< 0.1%
26839.451
< 0.1%

swo_ind_loans_amount_p0_30
Real number (ℝ≥0)

ZEROS

Distinct3861
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3926.694469
Minimum0
Maximum66688.97
Zeros4374
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.121881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1549.14
Q35223.68
95-th percentile15723.68
Maximum66688.97
Range66688.97
Interquartile range (IQR)5223.68

Descriptive statistics

Standard deviation5869.334922
Coefficient of variation (CV)1.494726663
Kurtosis11.32636259
Mean3926.694469
Median Absolute Deviation (MAD)1549.14
Skewness2.748633357
Sum57510367.2
Variance34449092.42
MonotonicityNot monotonic
2022-08-18T01:37:13.167535image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04374
29.9%
1000441
 
3.0%
500291
 
2.0%
600281
 
1.9%
3000174
 
1.2%
2000171
 
1.2%
800159
 
1.1%
1200158
 
1.1%
1500135
 
0.9%
2500110
 
0.8%
Other values (3851)8352
57.0%
ValueCountFrequency (%)
04374
29.9%
501
 
< 0.1%
10028
 
0.2%
115.231
 
< 0.1%
116.094
 
< 0.1%
ValueCountFrequency (%)
66688.971
 
< 0.1%
61664.491
 
< 0.1%
59995.31
 
< 0.1%
553003
< 0.1%
53371.371
 
< 0.1%

swo_ind_loans_amount_p0_90
Real number (ℝ≥0)

ZEROS

Distinct6770
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9141.368643
Minimum0
Maximum159231.5
Zeros2428
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.215762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1973.67
median4136.35
Q312300
95-th percentile35139.4925
Maximum159231.5
Range159231.5
Interquartile range (IQR)11326.33

Descriptive statistics

Standard deviation12755.8665
Coefficient of variation (CV)1.395400076
Kurtosis10.80978518
Mean9141.368643
Median Absolute Deviation (MAD)4136.35
Skewness2.669773103
Sum133884485.1
Variance162712130.2
MonotonicityNot monotonic
2022-08-18T01:37:13.261653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02428
 
16.6%
1000264
 
1.8%
500205
 
1.4%
600201
 
1.4%
2000153
 
1.0%
3000114
 
0.8%
800113
 
0.8%
1500101
 
0.7%
120099
 
0.7%
160098
 
0.7%
Other values (6760)10870
74.2%
ValueCountFrequency (%)
02428
16.6%
401
 
< 0.1%
43.941
 
< 0.1%
452
 
< 0.1%
58.791
 
< 0.1%
ValueCountFrequency (%)
159231.51
< 0.1%
132546.571
< 0.1%
126181.492
< 0.1%
113826.211
< 0.1%
111706.541
< 0.1%

swo_ind_loans_amount_p0_210
Real number (ℝ≥0)

ZEROS

Distinct7797
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14121.76107
Minimum0
Maximum215437.04
Zeros1772
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.311710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11600
median6300
Q318334.465
95-th percentile55237.0625
Maximum215437.04
Range215437.04
Interquartile range (IQR)16734.465

Descriptive statistics

Standard deviation20210.58368
Coefficient of variation (CV)1.431165956
Kurtosis11.8413213
Mean14121.76107
Median Absolute Deviation (MAD)5719.59
Skewness2.862756961
Sum206827312.6
Variance408467692.6
MonotonicityNot monotonic
2022-08-18T01:37:13.355986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01772
 
12.1%
1000203
 
1.4%
500176
 
1.2%
600160
 
1.1%
2000132
 
0.9%
3000105
 
0.7%
120093
 
0.6%
160093
 
0.6%
80092
 
0.6%
150091
 
0.6%
Other values (7787)11729
80.1%
ValueCountFrequency (%)
01772
12.1%
401
 
< 0.1%
42.991
 
< 0.1%
50.311
 
< 0.1%
591
 
< 0.1%
ValueCountFrequency (%)
215437.041
< 0.1%
212738.471
< 0.1%
199635.031
< 0.1%
194514.621
< 0.1%
186850.651
< 0.1%

swo_ind_loans_amount_p0_360
Real number (ℝ≥0)

ZEROS

Distinct8315
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17856.6838
Minimum0
Maximum287223.47
Zeros1434
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.538865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12270.74
median8052.435
Q322765.6275
95-th percentile68007.925
Maximum287223.47
Range287223.47
Interquartile range (IQR)20494.8875

Descriptive statistics

Standard deviation25833.67542
Coefficient of variation (CV)1.446723015
Kurtosis13.42630444
Mean17856.6838
Median Absolute Deviation (MAD)7052.435
Skewness3.029554449
Sum261528990.9
Variance667378785.5
MonotonicityNot monotonic
2022-08-18T01:37:13.582952image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01434
 
9.8%
1000162
 
1.1%
500149
 
1.0%
600136
 
0.9%
2000119
 
0.8%
3000102
 
0.7%
80088
 
0.6%
160085
 
0.6%
120082
 
0.6%
150081
 
0.6%
Other values (8305)12208
83.4%
ValueCountFrequency (%)
01434
9.8%
49.83
 
< 0.1%
591
 
< 0.1%
60.451
 
< 0.1%
62.381
 
< 0.1%
ValueCountFrequency (%)
287223.471
< 0.1%
270806.771
< 0.1%
263092.751
< 0.1%
253232.591
< 0.1%
249084.621
< 0.1%

swo_ind_loans_amount_p0_plus
Real number (ℝ≥0)

ZEROS

Distinct9072
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26861.07936
Minimum0
Maximum993489.75
Zeros825
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.631272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13780.91
median11662.815
Q331743.655
95-th percentile103405.39
Maximum993489.75
Range993489.75
Interquartile range (IQR)27962.745

Descriptive statistics

Standard deviation43187.65891
Coefficient of variation (CV)1.607815469
Kurtosis56.18445269
Mean26861.07936
Median Absolute Deviation (MAD)9715.52
Skewness5.092434714
Sum393407368.2
Variance1865173882
MonotonicityNot monotonic
2022-08-18T01:37:13.678514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0825
 
5.6%
2000110
 
0.8%
500106
 
0.7%
60093
 
0.6%
100089
 
0.6%
300085
 
0.6%
120080
 
0.5%
160074
 
0.5%
80074
 
0.5%
140073
 
0.5%
Other values (9062)13037
89.0%
ValueCountFrequency (%)
0825
5.6%
501
 
< 0.1%
591
 
< 0.1%
60.451
 
< 0.1%
62.381
 
< 0.1%
ValueCountFrequency (%)
993489.752
< 0.1%
672249.21
< 0.1%
587078.211
< 0.1%
549298.21
< 0.1%
514817.071
< 0.1%

swo_ind_loans_number_p0_1
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07066775912
Minimum0
Maximum5
Zeros13770
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.715048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3024717644
Coefficient of variation (CV)4.280194649
Kurtosis34.77455114
Mean0.07066775912
Median Absolute Deviation (MAD)0
Skewness5.201636938
Sum1035
Variance0.09148916827
MonotonicityNot monotonic
2022-08-18T01:37:13.747044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013770
94.0%
1740
 
5.1%
2119
 
0.8%
312
 
0.1%
44
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013770
94.0%
1740
 
5.1%
2119
 
0.8%
312
 
0.1%
44
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
44
 
< 0.1%
312
 
0.1%
2119
 
0.8%
1740
5.1%

swo_ind_loans_number_p0_3
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1976648914
Minimum0
Maximum6
Zeros12461
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.778435image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5431695192
Coefficient of variation (CV)2.747931184
Kurtosis18.97206407
Mean0.1976648914
Median Absolute Deviation (MAD)0
Skewness3.714206622
Sum2895
Variance0.2950331266
MonotonicityNot monotonic
2022-08-18T01:37:13.808089image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
012461
85.1%
11671
 
11.4%
2381
 
2.6%
395
 
0.6%
418
 
0.1%
515
 
0.1%
65
 
< 0.1%
ValueCountFrequency (%)
012461
85.1%
11671
 
11.4%
2381
 
2.6%
395
 
0.6%
418
 
0.1%
ValueCountFrequency (%)
65
 
< 0.1%
515
 
0.1%
418
 
0.1%
395
 
0.6%
2381
2.6%

swo_ind_loans_number_p0_7
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4625836406
Minimum0
Maximum11
Zeros10217
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.841372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8773542522
Coefficient of variation (CV)1.89663917
Kurtosis11.13795351
Mean0.4625836406
Median Absolute Deviation (MAD)0
Skewness2.766809983
Sum6775
Variance0.7697504838
MonotonicityNot monotonic
2022-08-18T01:37:13.872048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
010217
69.8%
12963
 
20.2%
2926
 
6.3%
3352
 
2.4%
4101
 
0.7%
542
 
0.3%
632
 
0.2%
79
 
0.1%
83
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
010217
69.8%
12963
 
20.2%
2926
 
6.3%
3352
 
2.4%
4101
 
0.7%
ValueCountFrequency (%)
111
 
< 0.1%
83
 
< 0.1%
79
 
0.1%
632
0.2%
542
0.3%

swo_ind_loans_number_p0_30
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.715075789
Minimum0
Maximum22
Zeros4369
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.906599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.917058092
Coefficient of variation (CV)1.117768734
Kurtosis6.626374841
Mean1.715075789
Median Absolute Deviation (MAD)1
Skewness1.966788319
Sum25119
Variance3.675111729
MonotonicityNot monotonic
2022-08-18T01:37:13.941023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
04369
29.8%
14137
28.2%
22545
17.4%
31422
 
9.7%
4931
 
6.4%
5542
 
3.7%
6285
 
1.9%
7192
 
1.3%
899
 
0.7%
953
 
0.4%
Other values (10)71
 
0.5%
ValueCountFrequency (%)
04369
29.8%
14137
28.2%
22545
17.4%
31422
 
9.7%
4931
 
6.4%
ValueCountFrequency (%)
221
 
< 0.1%
191
 
< 0.1%
181
 
< 0.1%
172
 
< 0.1%
155
< 0.1%

swo_ind_loans_number_p0_90
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.12016933
Minimum0
Maximum46
Zeros2416
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:13.978948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile12
Maximum46
Range46
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.960581653
Coefficient of variation (CV)0.961266719
Kurtosis4.979617822
Mean4.12016933
Median Absolute Deviation (MAD)2
Skewness1.693975917
Sum60344
Variance15.68620703
MonotonicityNot monotonic
2022-08-18T01:37:14.019803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
02416
16.5%
21925
13.1%
11811
12.4%
31756
12.0%
41474
10.1%
51156
7.9%
6958
 
6.5%
7721
 
4.9%
8587
 
4.0%
9448
 
3.1%
Other values (25)1394
9.5%
ValueCountFrequency (%)
02416
16.5%
11811
12.4%
21925
13.1%
31756
12.0%
41474
10.1%
ValueCountFrequency (%)
461
< 0.1%
371
< 0.1%
341
< 0.1%
311
< 0.1%
302
< 0.1%

swo_ind_loans_number_p0_210
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.62569985
Minimum0
Maximum74
Zeros1760
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.064762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile19
Maximum74
Range74
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.553058841
Coefficient of variation (CV)0.9890364775
Kurtosis6.844085241
Mean6.62569985
Median Absolute Deviation (MAD)3
Skewness1.95852299
Sum97040
Variance42.94258017
MonotonicityNot monotonic
2022-08-18T01:37:14.109555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01760
12.0%
21461
10.0%
11325
 
9.0%
41211
 
8.3%
31182
 
8.1%
5970
 
6.6%
6921
 
6.3%
7866
 
5.9%
8744
 
5.1%
9656
 
4.5%
Other values (45)3550
24.2%
ValueCountFrequency (%)
01760
12.0%
11325
9.0%
21461
10.0%
31182
8.1%
41211
8.3%
ValueCountFrequency (%)
741
< 0.1%
711
< 0.1%
661
< 0.1%
651
< 0.1%
631
< 0.1%

swo_ind_loans_number_p0_360
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.365560563
Minimum0
Maximum88
Zeros1424
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.158529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q311.75
95-th percentile25
Maximum88
Range88
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation8.450109802
Coefficient of variation (CV)1.010106823
Kurtosis6.816421425
Mean8.365560563
Median Absolute Deviation (MAD)4
Skewness2.071103196
Sum122522
Variance71.40435567
MonotonicityNot monotonic
2022-08-18T01:37:14.203061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01424
 
9.7%
21308
 
8.9%
41123
 
7.7%
31095
 
7.5%
11021
 
7.0%
5911
 
6.2%
6870
 
5.9%
7775
 
5.3%
8762
 
5.2%
9628
 
4.3%
Other values (63)4729
32.3%
ValueCountFrequency (%)
01424
9.7%
11021
7.0%
21308
8.9%
31095
7.5%
41123
7.7%
ValueCountFrequency (%)
881
< 0.1%
801
< 0.1%
781
< 0.1%
761
< 0.1%
751
< 0.1%

swo_ind_loans_number_p0_plus
Real number (ℝ≥0)

ZEROS

Distinct117
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.51904957
Minimum0
Maximum173
Zeros820
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.248572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q316
95-th percentile39
Maximum173
Range173
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.81442185
Coefficient of variation (CV)1.103472094
Kurtosis14.36994751
Mean12.51904957
Median Absolute Deviation (MAD)5
Skewness2.886010453
Sum183354
Variance190.838251
MonotonicityNot monotonic
2022-08-18T01:37:14.293863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21070
 
7.3%
41050
 
7.2%
5871
 
5.9%
3869
 
5.9%
0820
 
5.6%
6788
 
5.4%
7761
 
5.2%
8720
 
4.9%
9619
 
4.2%
10580
 
4.0%
Other values (107)6498
44.4%
ValueCountFrequency (%)
0820
5.6%
1573
3.9%
21070
7.3%
3869
5.9%
41050
7.2%
ValueCountFrequency (%)
1731
< 0.1%
1632
< 0.1%
1601
< 0.1%
1551
< 0.1%
1502
< 0.1%

swo_ind_overdue_loans_number_p0_1
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01877645774
Minimum0
Maximum2
Zeros14374
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.333267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1372401419
Coefficient of variation (CV)7.30916043
Kurtosis53.91655318
Mean0.01877645774
Median Absolute Deviation (MAD)0
Skewness7.327885361
Sum275
Variance0.01883485655
MonotonicityNot monotonic
2022-08-18T01:37:14.364291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014374
98.1%
1269
 
1.8%
23
 
< 0.1%
ValueCountFrequency (%)
014374
98.1%
1269
 
1.8%
23
 
< 0.1%
ValueCountFrequency (%)
23
 
< 0.1%
1269
 
1.8%
014374
98.1%

swo_ind_overdue_loans_number_p0_3
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04608766899
Minimum0
Maximum2
Zeros13977
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.397937image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2116270068
Coefficient of variation (CV)4.591835765
Kurtosis18.67600683
Mean0.04608766899
Median Absolute Deviation (MAD)0
Skewness4.459269131
Sum675
Variance0.04478598999
MonotonicityNot monotonic
2022-08-18T01:37:14.428867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
013977
95.4%
1663
 
4.5%
26
 
< 0.1%
ValueCountFrequency (%)
013977
95.4%
1663
 
4.5%
26
 
< 0.1%
ValueCountFrequency (%)
26
 
< 0.1%
1663
 
4.5%
013977
95.4%

swo_ind_overdue_loans_number_p0_7
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05202785744
Minimum0
Maximum2
Zeros13897
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.463081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2260523771
Coefficient of variation (CV)4.344833485
Kurtosis17.44836341
Mean0.05202785744
Median Absolute Deviation (MAD)0
Skewness4.263410392
Sum762
Variance0.0510996772
MonotonicityNot monotonic
2022-08-18T01:37:14.493672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
013897
94.9%
1736
 
5.0%
213
 
0.1%
ValueCountFrequency (%)
013897
94.9%
1736
 
5.0%
213
 
0.1%
ValueCountFrequency (%)
213
 
0.1%
1736
 
5.0%
013897
94.9%

swo_ind_overdue_loans_number_p0_30
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06322545405
Minimum0
Maximum5
Zeros13803
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.526807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2757346226
Coefficient of variation (CV)4.361133134
Kurtosis48.51956444
Mean0.06322545405
Median Absolute Deviation (MAD)0
Skewness5.736944995
Sum926
Variance0.07602958208
MonotonicityNot monotonic
2022-08-18T01:37:14.558689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
 
0.1%
310
 
0.1%
235
 
0.2%
1789
5.4%

swo_ind_overdue_loans_number_p0_90
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06322545405
Minimum0
Maximum5
Zeros13803
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.589215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2757346226
Coefficient of variation (CV)4.361133134
Kurtosis48.51956444
Mean0.06322545405
Median Absolute Deviation (MAD)0
Skewness5.736944995
Sum926
Variance0.07602958208
MonotonicityNot monotonic
2022-08-18T01:37:14.620760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
 
0.1%
310
 
0.1%
235
 
0.2%
1789
5.4%

swo_ind_overdue_loans_number_p0_210
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06322545405
Minimum0
Maximum5
Zeros13803
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.651689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2757346226
Coefficient of variation (CV)4.361133134
Kurtosis48.51956444
Mean0.06322545405
Median Absolute Deviation (MAD)0
Skewness5.736944995
Sum926
Variance0.07602958208
MonotonicityNot monotonic
2022-08-18T01:37:14.682970image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
 
0.1%
310
 
0.1%
235
 
0.2%
1789
5.4%

swo_ind_overdue_loans_number_p0_360
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06322545405
Minimum0
Maximum5
Zeros13803
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.713698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2757346226
Coefficient of variation (CV)4.361133134
Kurtosis48.51956444
Mean0.06322545405
Median Absolute Deviation (MAD)0
Skewness5.736944995
Sum926
Variance0.07602958208
MonotonicityNot monotonic
2022-08-18T01:37:14.745354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013803
94.2%
1789
 
5.4%
235
 
0.2%
310
 
0.1%
48
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
 
0.1%
310
 
0.1%
235
 
0.2%
1789
5.4%

swo_ind_overdue_loans_number_p0_plus
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06336201011
Minimum0
Maximum5
Zeros13802
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.775930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2761981632
Coefficient of variation (CV)4.359049891
Kurtosis48.32840025
Mean0.06336201011
Median Absolute Deviation (MAD)0
Skewness5.730173544
Sum928
Variance0.07628542538
MonotonicityNot monotonic
2022-08-18T01:37:14.807173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013802
94.2%
1789
 
5.4%
236
 
0.2%
310
 
0.1%
48
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013802
94.2%
1789
 
5.4%
236
 
0.2%
310
 
0.1%
48
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
 
0.1%
310
 
0.1%
236
 
0.2%
1789
5.4%

swo_ind_overdue_loans_sum_501_1000_p0_7
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01112931859
Minimum0
Maximum1
Zeros14483
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:14.838177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1049104777
Coefficient of variation (CV)9.426496053
Kurtosis84.89340395
Mean0.01112931859
Median Absolute Deviation (MAD)0
Skewness9.321041319
Sum163
Variance0.01100620834
MonotonicityNot monotonic
2022-08-18T01:37:14.868650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014483
98.9%
1163
 
1.1%
ValueCountFrequency (%)
014483
98.9%
1163
 
1.1%
ValueCountFrequency (%)
1163
 
1.1%
014483
98.9%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01304110337
Minimum0
Maximum2
Zeros14457
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.033973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1146518322
Coefficient of variation (CV)8.791574525
Kurtosis79.46942687
Mean0.01304110337
Median Absolute Deviation (MAD)0
Skewness8.855871906
Sum191
Variance0.01314504263
MonotonicityNot monotonic
2022-08-18T01:37:15.064646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
1187
 
1.3%
014457
98.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01304110337
Minimum0
Maximum2
Zeros14457
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.097956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1146518322
Coefficient of variation (CV)8.791574525
Kurtosis79.46942687
Mean0.01304110337
Median Absolute Deviation (MAD)0
Skewness8.855871906
Sum191
Variance0.01314504263
MonotonicityNot monotonic
2022-08-18T01:37:15.129272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
1187
 
1.3%
014457
98.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01304110337
Minimum0
Maximum2
Zeros14457
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.163431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1146518322
Coefficient of variation (CV)8.791574525
Kurtosis79.46942687
Mean0.01304110337
Median Absolute Deviation (MAD)0
Skewness8.855871906
Sum191
Variance0.01314504263
MonotonicityNot monotonic
2022-08-18T01:37:15.194338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
1187
 
1.3%
014457
98.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01304110337
Minimum0
Maximum2
Zeros14457
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.229076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1146518322
Coefficient of variation (CV)8.791574525
Kurtosis79.46942687
Mean0.01304110337
Median Absolute Deviation (MAD)0
Skewness8.855871906
Sum191
Variance0.01314504263
MonotonicityNot monotonic
2022-08-18T01:37:15.262302image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
1187
 
1.3%
014457
98.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01304110337
Minimum0
Maximum2
Zeros14457
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.297696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1146518322
Coefficient of variation (CV)8.791574525
Kurtosis79.46942687
Mean0.01304110337
Median Absolute Deviation (MAD)0
Skewness8.855871906
Sum191
Variance0.01314504263
MonotonicityNot monotonic
2022-08-18T01:37:15.328450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
014457
98.7%
1187
 
1.3%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
1187
 
1.3%
014457
98.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02369247576
Minimum0
Maximum1
Zeros14299
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.362274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1520944503
Coefficient of variation (CV)6.419525415
Kurtosis37.24488369
Mean0.02369247576
Median Absolute Deviation (MAD)0
Skewness6.264167757
Sum347
Variance0.02313272181
MonotonicityNot monotonic
2022-08-18T01:37:15.392505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014299
97.6%
1347
 
2.4%
ValueCountFrequency (%)
014299
97.6%
1347
 
2.4%
ValueCountFrequency (%)
1347
 
2.4%
014299
97.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02505803632
Minimum0
Maximum1
Zeros14279
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.423452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1563067474
Coefficient of variation (CV)6.237789163
Kurtosis34.94539754
Mean0.02505803632
Median Absolute Deviation (MAD)0
Skewness6.077880021
Sum367
Variance0.02443179929
MonotonicityNot monotonic
2022-08-18T01:37:15.454110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014279
97.5%
1367
 
2.5%
ValueCountFrequency (%)
014279
97.5%
1367
 
2.5%
ValueCountFrequency (%)
1367
 
2.5%
014279
97.5%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02874504984
Minimum0
Maximum2
Zeros14233
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.485854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1703326198
Coefficient of variation (CV)5.925633134
Kurtosis36.05042534
Mean0.02874504984
Median Absolute Deviation (MAD)0
Skewness5.969957312
Sum421
Variance0.02901320137
MonotonicityNot monotonic
2022-08-18T01:37:15.516775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
28
 
0.1%
1405
 
2.8%
014233
97.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02874504984
Minimum0
Maximum2
Zeros14233
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.550574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1703326198
Coefficient of variation (CV)5.925633134
Kurtosis36.05042534
Mean0.02874504984
Median Absolute Deviation (MAD)0
Skewness5.969957312
Sum421
Variance0.02901320137
MonotonicityNot monotonic
2022-08-18T01:37:15.581281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
28
 
0.1%
1405
 
2.8%
014233
97.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02874504984
Minimum0
Maximum2
Zeros14233
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.615091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1703326198
Coefficient of variation (CV)5.925633134
Kurtosis36.05042534
Mean0.02874504984
Median Absolute Deviation (MAD)0
Skewness5.969957312
Sum421
Variance0.02901320137
MonotonicityNot monotonic
2022-08-18T01:37:15.645523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
28
 
0.1%
1405
 
2.8%
014233
97.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02874504984
Minimum0
Maximum2
Zeros14233
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.679316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1703326198
Coefficient of variation (CV)5.925633134
Kurtosis36.05042534
Mean0.02874504984
Median Absolute Deviation (MAD)0
Skewness5.969957312
Sum421
Variance0.02901320137
MonotonicityNot monotonic
2022-08-18T01:37:15.710254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
28
 
0.1%
1405
 
2.8%
014233
97.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02874504984
Minimum0
Maximum2
Zeros14233
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.744234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1703326198
Coefficient of variation (CV)5.925633134
Kurtosis36.05042534
Mean0.02874504984
Median Absolute Deviation (MAD)0
Skewness5.969957312
Sum421
Variance0.02901320137
MonotonicityNot monotonic
2022-08-18T01:37:15.782171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
014233
97.2%
1405
 
2.8%
28
 
0.1%
ValueCountFrequency (%)
28
 
0.1%
1405
 
2.8%
014233
97.2%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09552096135
Minimum0
Maximum16
Zeros13896
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.889605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5584550566
Coefficient of variation (CV)5.846413694
Kurtosis212.1489549
Mean0.09552096135
Median Absolute Deviation (MAD)0
Skewness11.49478993
Sum1399
Variance0.3118720502
MonotonicityNot monotonic
2022-08-18T01:37:15.928346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
013896
94.9%
1457
 
3.1%
2142
 
1.0%
371
 
0.5%
434
 
0.2%
527
 
0.2%
65
 
< 0.1%
163
 
< 0.1%
73
 
< 0.1%
93
 
< 0.1%
Other values (2)5
 
< 0.1%
ValueCountFrequency (%)
013896
94.9%
1457
 
3.1%
2142
 
1.0%
371
 
0.5%
434
 
0.2%
ValueCountFrequency (%)
163
< 0.1%
122
< 0.1%
93
< 0.1%
83
< 0.1%
73
< 0.1%
Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1859210706
Minimum0
Maximum19
Zeros13369
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:15.987685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8650387505
Coefficient of variation (CV)4.65272036
Kurtosis129.9862919
Mean0.1859210706
Median Absolute Deviation (MAD)0
Skewness9.192284485
Sum2723
Variance0.7482920399
MonotonicityNot monotonic
2022-08-18T01:37:16.021758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
013369
91.3%
1724
 
4.9%
2240
 
1.6%
3117
 
0.8%
468
 
0.5%
561
 
0.4%
722
 
0.2%
615
 
0.1%
812
 
0.1%
195
 
< 0.1%
Other values (7)13
 
0.1%
ValueCountFrequency (%)
013369
91.3%
1724
 
4.9%
2240
 
1.6%
3117
 
0.8%
468
 
0.5%
ValueCountFrequency (%)
195
< 0.1%
152
 
< 0.1%
141
 
< 0.1%
133
< 0.1%
122
 
< 0.1%
Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.352041513
Minimum0
Maximum33
Zeros12678
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.060800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.410415191
Coefficient of variation (CV)4.006388846
Kurtosis122.782472
Mean0.352041513
Median Absolute Deviation (MAD)0
Skewness8.759042087
Sum5156
Variance1.989271011
MonotonicityNot monotonic
2022-08-18T01:37:16.097445image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
012678
86.6%
1976
 
6.7%
2379
 
2.6%
3205
 
1.4%
4116
 
0.8%
593
 
0.6%
654
 
0.4%
840
 
0.3%
726
 
0.2%
1018
 
0.1%
Other values (15)61
 
0.4%
ValueCountFrequency (%)
012678
86.6%
1976
 
6.7%
2379
 
2.6%
3205
 
1.4%
4116
 
0.8%
ValueCountFrequency (%)
332
< 0.1%
293
< 0.1%
261
 
< 0.1%
251
 
< 0.1%
201
 
< 0.1%
Distinct52
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.181551277
Minimum0
Maximum93
Zeros10670
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.141837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum93
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.876924011
Coefficient of variation (CV)3.281215201
Kurtosis122.2665886
Mean1.181551277
Median Absolute Deviation (MAD)0
Skewness8.56072188
Sum17305
Variance15.03053979
MonotonicityNot monotonic
2022-08-18T01:37:16.187563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010670
72.9%
11454
 
9.9%
2730
 
5.0%
3438
 
3.0%
4283
 
1.9%
5200
 
1.4%
6182
 
1.2%
7118
 
0.8%
898
 
0.7%
956
 
0.4%
Other values (42)417
 
2.8%
ValueCountFrequency (%)
010670
72.9%
11454
 
9.9%
2730
 
5.0%
3438
 
3.0%
4283
 
1.9%
ValueCountFrequency (%)
933
< 0.1%
682
< 0.1%
672
< 0.1%
581
 
< 0.1%
561
 
< 0.1%
Distinct85
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.986754063
Minimum0
Maximum100
Zeros9016
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.233739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum100
Range100
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.321056108
Coefficient of variation (CV)2.78598637
Kurtosis51.50302494
Mean2.986754063
Median Absolute Deviation (MAD)0
Skewness6.136410667
Sum43744
Variance69.23997476
MonotonicityNot monotonic
2022-08-18T01:37:16.279464image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09016
61.6%
11387
 
9.5%
2795
 
5.4%
3545
 
3.7%
4437
 
3.0%
5318
 
2.2%
6283
 
1.9%
7204
 
1.4%
8178
 
1.2%
9176
 
1.2%
Other values (75)1307
 
8.9%
ValueCountFrequency (%)
09016
61.6%
11387
 
9.5%
2795
 
5.4%
3545
 
3.7%
4437
 
3.0%
ValueCountFrequency (%)
10017
0.1%
991
 
< 0.1%
983
 
< 0.1%
972
 
< 0.1%
951
 
< 0.1%
Distinct99
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.742250444
Minimum0
Maximum100
Zeros7918
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.326232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile31
Maximum100
Range100
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.51830441
Coefficient of variation (CV)2.354182309
Kurtosis19.20168311
Mean5.742250444
Median Absolute Deviation (MAD)0
Skewness3.999045356
Sum84101
Variance182.7445541
MonotonicityNot monotonic
2022-08-18T01:37:16.371658image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07918
54.1%
11289
 
8.8%
2765
 
5.2%
3520
 
3.6%
5390
 
2.7%
4372
 
2.5%
6323
 
2.2%
7233
 
1.6%
9218
 
1.5%
8196
 
1.3%
Other values (89)2422
 
16.5%
ValueCountFrequency (%)
07918
54.1%
11289
 
8.8%
2765
 
5.2%
3520
 
3.6%
4372
 
2.5%
ValueCountFrequency (%)
10068
0.5%
984
 
< 0.1%
972
 
< 0.1%
963
 
< 0.1%
953
 
< 0.1%
Distinct101
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.19233921
Minimum0
Maximum100
Zeros6987
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.424477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile59
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation20.39335471
Coefficient of variation (CV)2.000851257
Kurtosis7.769478617
Mean10.19233921
Median Absolute Deviation (MAD)1
Skewness2.785719353
Sum149277
Variance415.8889164
MonotonicityNot monotonic
2022-08-18T01:37:16.471595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06987
47.7%
11048
 
7.2%
2700
 
4.8%
3450
 
3.1%
4388
 
2.6%
5342
 
2.3%
6288
 
2.0%
7257
 
1.8%
100236
 
1.6%
8231
 
1.6%
Other values (91)3719
25.4%
ValueCountFrequency (%)
06987
47.7%
11048
 
7.2%
2700
 
4.8%
3450
 
3.1%
4388
 
2.6%
ValueCountFrequency (%)
100236
1.6%
9915
 
0.1%
988
 
0.1%
978
 
0.1%
964
 
< 0.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05687559743
Minimum0
Maximum5
Zeros13896
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.509379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2620431614
Coefficient of variation (CV)4.607303893
Kurtosis47.43865472
Mean0.05687559743
Median Absolute Deviation (MAD)0
Skewness5.80201929
Sum833
Variance0.06866661846
MonotonicityNot monotonic
2022-08-18T01:37:16.541354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013896
94.9%
1687
 
4.7%
249
 
0.3%
39
 
0.1%
44
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013896
94.9%
1687
 
4.7%
249
 
0.3%
39
 
0.1%
44
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
44
 
< 0.1%
39
 
0.1%
249
 
0.3%
1687
4.7%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1100641813
Minimum0
Maximum7
Zeros13369
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.573132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4021601402
Coefficient of variation (CV)3.653869364
Kurtosis39.35112099
Mean0.1100641813
Median Absolute Deviation (MAD)0
Skewness5.128410909
Sum1612
Variance0.1617327784
MonotonicityNot monotonic
2022-08-18T01:37:16.756184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
013369
91.3%
11021
 
7.0%
2210
 
1.4%
327
 
0.2%
410
 
0.1%
55
 
< 0.1%
63
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
013369
91.3%
11021
 
7.0%
2210
 
1.4%
327
 
0.2%
410
 
0.1%
ValueCountFrequency (%)
71
 
< 0.1%
63
 
< 0.1%
55
 
< 0.1%
410
 
0.1%
327
0.2%
Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1970503892
Minimum0
Maximum10
Zeros12678
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.791514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.598924299
Coefficient of variation (CV)3.03944743
Kurtosis34.80914548
Mean0.1970503892
Median Absolute Deviation (MAD)0
Skewness4.647447785
Sum2886
Variance0.3587103159
MonotonicityNot monotonic
2022-08-18T01:37:16.824755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
012678
86.6%
11378
 
9.4%
2370
 
2.5%
3161
 
1.1%
436
 
0.2%
515
 
0.1%
103
 
< 0.1%
73
 
< 0.1%
61
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
012678
86.6%
11378
 
9.4%
2370
 
2.5%
3161
 
1.1%
436
 
0.2%
ValueCountFrequency (%)
103
 
< 0.1%
91
 
< 0.1%
73
 
< 0.1%
61
 
< 0.1%
515
0.1%
Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5181619555
Minimum0
Maximum25
Zeros10670
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.858394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.177827157
Coefficient of variation (CV)2.273086908
Kurtosis64.56411776
Mean0.5181619555
Median Absolute Deviation (MAD)0
Skewness5.419294906
Sum7589
Variance1.387276813
MonotonicityNot monotonic
2022-08-18T01:37:16.895229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
010670
72.9%
12136
 
14.6%
2985
 
6.7%
3448
 
3.1%
4210
 
1.4%
595
 
0.6%
649
 
0.3%
723
 
0.2%
813
 
0.1%
94
 
< 0.1%
Other values (8)13
 
0.1%
ValueCountFrequency (%)
010670
72.9%
12136
 
14.6%
2985
 
6.7%
3448
 
3.1%
4210
 
1.4%
ValueCountFrequency (%)
251
 
< 0.1%
231
 
< 0.1%
223
< 0.1%
191
 
< 0.1%
182
< 0.1%
Distinct26
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.060426055
Minimum0
Maximum30
Zeros9016
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:16.933246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.025806921
Coefficient of variation (CV)1.910370753
Kurtosis29.154632
Mean1.060426055
Median Absolute Deviation (MAD)0
Skewness3.931383939
Sum15531
Variance4.10389368
MonotonicityNot monotonic
2022-08-18T01:37:16.969803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
09016
61.6%
12071
 
14.1%
21331
 
9.1%
3836
 
5.7%
4501
 
3.4%
5326
 
2.2%
6187
 
1.3%
7139
 
0.9%
880
 
0.5%
960
 
0.4%
Other values (16)99
 
0.7%
ValueCountFrequency (%)
09016
61.6%
12071
 
14.1%
21331
 
9.1%
3836
 
5.7%
4501
 
3.4%
ValueCountFrequency (%)
302
< 0.1%
292
< 0.1%
281
 
< 0.1%
264
< 0.1%
231
 
< 0.1%
Distinct33
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.724225044
Minimum0
Maximum41
Zeros7918
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.010392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum41
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.02156972
Coefficient of variation (CV)1.752421895
Kurtosis16.50774505
Mean1.724225044
Median Absolute Deviation (MAD)0
Skewness3.202293568
Sum25253
Variance9.129883575
MonotonicityNot monotonic
2022-08-18T01:37:17.048380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
07918
54.1%
11930
 
13.2%
21277
 
8.7%
3889
 
6.1%
4739
 
5.0%
5519
 
3.5%
6373
 
2.5%
7263
 
1.8%
8176
 
1.2%
9124
 
0.8%
Other values (23)438
 
3.0%
ValueCountFrequency (%)
07918
54.1%
11930
 
13.2%
21277
 
8.7%
3889
 
6.1%
4739
 
5.0%
ValueCountFrequency (%)
411
< 0.1%
381
< 0.1%
351
< 0.1%
302
< 0.1%
292
< 0.1%
Distinct40
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.622968729
Minimum0
Maximum44
Zeros6987
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.089952image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile11
Maximum44
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.260372103
Coefficient of variation (CV)1.624255774
Kurtosis10.17665998
Mean2.622968729
Median Absolute Deviation (MAD)1
Skewness2.701903658
Sum38416
Variance18.15077046
MonotonicityNot monotonic
2022-08-18T01:37:17.130385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
06987
47.7%
11727
 
11.8%
21147
 
7.8%
3937
 
6.4%
4726
 
5.0%
5649
 
4.4%
6510
 
3.5%
7381
 
2.6%
8297
 
2.0%
9282
 
1.9%
Other values (30)1003
 
6.8%
ValueCountFrequency (%)
06987
47.7%
11727
 
11.8%
21147
 
7.8%
3937
 
6.4%
4726
 
5.0%
ValueCountFrequency (%)
441
< 0.1%
411
< 0.1%
391
< 0.1%
382
< 0.1%
371
< 0.1%
Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8868633074
Minimum0
Maximum27
Zeros8814
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.167246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.718525822
Coefficient of variation (CV)1.937757271
Kurtosis21.62884341
Mean0.8868633074
Median Absolute Deviation (MAD)0
Skewness3.736100344
Sum12989
Variance2.953331
MonotonicityNot monotonic
2022-08-18T01:37:17.204357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
08814
60.2%
13164
 
21.6%
21104
 
7.5%
3583
 
4.0%
4359
 
2.5%
5206
 
1.4%
6145
 
1.0%
777
 
0.5%
862
 
0.4%
943
 
0.3%
Other values (11)89
 
0.6%
ValueCountFrequency (%)
08814
60.2%
13164
 
21.6%
21104
 
7.5%
3583
 
4.0%
4359
 
2.5%
ValueCountFrequency (%)
271
 
< 0.1%
202
< 0.1%
183
< 0.1%
172
< 0.1%
164
< 0.1%
Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.354089854
Minimum0
Maximum27
Zeros7262
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.240431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum27
Range27
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.287342373
Coefficient of variation (CV)1.689210186
Kurtosis14.26341337
Mean1.354089854
Median Absolute Deviation (MAD)1
Skewness3.154777326
Sum19832
Variance5.231935133
MonotonicityNot monotonic
2022-08-18T01:37:17.277259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
07262
49.6%
13356
22.9%
21455
 
9.9%
3876
 
6.0%
4533
 
3.6%
5340
 
2.3%
6242
 
1.7%
7150
 
1.0%
8130
 
0.9%
980
 
0.5%
Other values (14)222
 
1.5%
ValueCountFrequency (%)
07262
49.6%
13356
22.9%
21455
 
9.9%
3876
 
6.0%
4533
 
3.6%
ValueCountFrequency (%)
271
 
< 0.1%
223
< 0.1%
213
< 0.1%
205
< 0.1%
193
< 0.1%
Distinct32
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.157722245
Minimum0
Maximum34
Zeros5587
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.315587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum34
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.250355566
Coefficient of variation (CV)1.506382749
Kurtosis12.16327842
Mean2.157722245
Median Absolute Deviation (MAD)1
Skewness2.887406018
Sum31602
Variance10.56481131
MonotonicityNot monotonic
2022-08-18T01:37:17.353919image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
05587
38.1%
13238
22.1%
21695
 
11.6%
31145
 
7.8%
4783
 
5.3%
5524
 
3.6%
6401
 
2.7%
7285
 
1.9%
8239
 
1.6%
9184
 
1.3%
Other values (22)565
 
3.9%
ValueCountFrequency (%)
05587
38.1%
13238
22.1%
21695
 
11.6%
31145
 
7.8%
4783
 
5.3%
ValueCountFrequency (%)
343
< 0.1%
331
 
< 0.1%
291
 
< 0.1%
282
< 0.1%
272
< 0.1%
Distinct76
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.614707087
Minimum0
Maximum103
Zeros2599
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.401538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile20
Maximum103
Range103
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.903311198
Coefficient of variation (CV)1.407608817
Kurtosis20.3819001
Mean5.614707087
Median Absolute Deviation (MAD)3
Skewness3.530654594
Sum82233
Variance62.4623279
MonotonicityNot monotonic
2022-08-18T01:37:17.451320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02599
17.7%
12411
16.5%
21660
11.3%
31327
9.1%
41039
 
7.1%
5866
 
5.9%
6676
 
4.6%
7567
 
3.9%
8479
 
3.3%
9424
 
2.9%
Other values (66)2598
17.7%
ValueCountFrequency (%)
02599
17.7%
12411
16.5%
21660
11.3%
31327
9.1%
41039
 
7.1%
ValueCountFrequency (%)
1031
< 0.1%
1002
< 0.1%
971
< 0.1%
921
< 0.1%
881
< 0.1%
Distinct116
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.25501844
Minimum0
Maximum199
Zeros1281
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.502474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q315
95-th percentile39
Maximum199
Range199
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.52130093
Coefficient of variation (CV)1.290206765
Kurtosis16.80599709
Mean11.25501844
Median Absolute Deviation (MAD)5
Skewness3.20388799
Sum164841
Variance210.8681807
MonotonicityNot monotonic
2022-08-18T01:37:17.550585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11370
 
9.4%
01281
 
8.7%
21179
 
8.0%
31070
 
7.3%
4930
 
6.3%
5809
 
5.5%
6753
 
5.1%
7642
 
4.4%
8588
 
4.0%
9481
 
3.3%
Other values (106)5543
37.8%
ValueCountFrequency (%)
01281
8.7%
11370
9.4%
21179
8.0%
31070
7.3%
4930
6.3%
ValueCountFrequency (%)
1991
< 0.1%
1901
< 0.1%
1781
< 0.1%
1581
< 0.1%
1551
< 0.1%
Distinct158
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.28649461
Minimum0
Maximum225
Zeros774
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.601698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q321
95-th percentile54
Maximum225
Range225
Interquartile range (IQR)17

Descriptive statistics

Standard deviation19.6276814
Coefficient of variation (CV)1.205150763
Kurtosis15.02926273
Mean16.28649461
Median Absolute Deviation (MAD)7
Skewness3.032337758
Sum238532
Variance385.245877
MonotonicityNot monotonic
2022-08-18T01:37:17.649847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1894
 
6.1%
2858
 
5.9%
3831
 
5.7%
4788
 
5.4%
0774
 
5.3%
5711
 
4.9%
6657
 
4.5%
8595
 
4.1%
7572
 
3.9%
9485
 
3.3%
Other values (148)7481
51.1%
ValueCountFrequency (%)
0774
5.3%
1894
6.1%
2858
5.9%
3831
5.7%
4788
5.4%
ValueCountFrequency (%)
2251
< 0.1%
2181
< 0.1%
2131
< 0.1%
2101
< 0.1%
2011
< 0.1%
Distinct186
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.32206746
Minimum0
Maximum265
Zeros517
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.696850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median12
Q327
95-th percentile65
Maximum265
Range265
Interquartile range (IQR)22

Descriptive statistics

Standard deviation24.04184614
Coefficient of variation (CV)1.183041351
Kurtosis14.71146486
Mean20.32206746
Median Absolute Deviation (MAD)9
Skewness3.018252799
Sum297637
Variance578.0103658
MonotonicityNot monotonic
2022-08-18T01:37:17.745709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3735
 
5.0%
4703
 
4.8%
2693
 
4.7%
1686
 
4.7%
6593
 
4.0%
5584
 
4.0%
7553
 
3.8%
8526
 
3.6%
0517
 
3.5%
9459
 
3.1%
Other values (176)8597
58.7%
ValueCountFrequency (%)
0517
3.5%
1686
4.7%
2693
4.7%
3735
5.0%
4703
4.8%
ValueCountFrequency (%)
2651
< 0.1%
2551
< 0.1%
2482
< 0.1%
2461
< 0.1%
2382
< 0.1%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0555783149
Minimum0
Maximum11
Zeros14196
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.788157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4321304423
Coefficient of variation (CV)7.775162724
Kurtosis244.8921917
Mean0.0555783149
Median Absolute Deviation (MAD)0
Skewness13.67074352
Sum814
Variance0.1867367191
MonotonicityNot monotonic
2022-08-18T01:37:17.821201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
014196
96.9%
1299
 
2.0%
278
 
0.5%
331
 
0.2%
411
 
0.1%
510
 
0.1%
86
 
< 0.1%
106
 
< 0.1%
65
 
< 0.1%
72
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
014196
96.9%
1299
 
2.0%
278
 
0.5%
331
 
0.2%
411
 
0.1%
ValueCountFrequency (%)
111
 
< 0.1%
106
< 0.1%
91
 
< 0.1%
86
< 0.1%
72
 
< 0.1%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08084118531
Minimum0
Maximum17
Zeros14037
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.857435image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5426364856
Coefficient of variation (CV)6.712376662
Kurtosis198.3205993
Mean0.08084118531
Median Absolute Deviation (MAD)0
Skewness11.93171485
Sum1184
Variance0.2944543555
MonotonicityNot monotonic
2022-08-18T01:37:17.889930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
014037
95.8%
1382
 
2.6%
2109
 
0.7%
341
 
0.3%
431
 
0.2%
514
 
0.1%
77
 
< 0.1%
106
 
< 0.1%
66
 
< 0.1%
96
 
< 0.1%
Other values (3)7
 
< 0.1%
ValueCountFrequency (%)
014037
95.8%
1382
 
2.6%
2109
 
0.7%
341
 
0.3%
431
 
0.2%
ValueCountFrequency (%)
171
 
< 0.1%
111
 
< 0.1%
106
< 0.1%
96
< 0.1%
85
< 0.1%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1187354909
Minimum0
Maximum18
Zeros13861
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.927574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7127823325
Coefficient of variation (CV)6.003111008
Kurtosis133.3754468
Mean0.1187354909
Median Absolute Deviation (MAD)0
Skewness10.0974325
Sum1739
Variance0.5080586536
MonotonicityNot monotonic
2022-08-18T01:37:17.961047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
013861
94.6%
1449
 
3.1%
2146
 
1.0%
362
 
0.4%
448
 
0.3%
518
 
0.1%
1014
 
0.1%
613
 
0.1%
812
 
0.1%
910
 
0.1%
Other values (3)13
 
0.1%
ValueCountFrequency (%)
013861
94.6%
1449
 
3.1%
2146
 
1.0%
362
 
0.4%
448
 
0.3%
ValueCountFrequency (%)
181
 
< 0.1%
134
 
< 0.1%
1014
0.1%
910
0.1%
812
0.1%
Distinct30
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.308138741
Minimum0
Maximum49
Zeros13268
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:17.999783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.66981455
Coefficient of variation (CV)5.419034767
Kurtosis190.7987177
Mean0.308138741
Median Absolute Deviation (MAD)0
Skewness11.55428014
Sum4513
Variance2.788280632
MonotonicityNot monotonic
2022-08-18T01:37:18.041066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
013268
90.6%
1633
 
4.3%
2260
 
1.8%
3134
 
0.9%
4102
 
0.7%
546
 
0.3%
636
 
0.2%
731
 
0.2%
828
 
0.2%
918
 
0.1%
Other values (20)90
 
0.6%
ValueCountFrequency (%)
013268
90.6%
1633
 
4.3%
2260
 
1.8%
3134
 
0.9%
4102
 
0.7%
ValueCountFrequency (%)
491
 
< 0.1%
371
 
< 0.1%
332
 
< 0.1%
326
< 0.1%
292
 
< 0.1%
Distinct44
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6243342892
Minimum0
Maximum61
Zeros12771
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.085032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.944845069
Coefficient of variation (CV)4.716776124
Kurtosis114.2596298
Mean0.6243342892
Median Absolute Deviation (MAD)0
Skewness9.080027362
Sum9144
Variance8.672112479
MonotonicityNot monotonic
2022-08-18T01:37:18.271297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
012771
87.2%
1646
 
4.4%
2335
 
2.3%
3225
 
1.5%
4141
 
1.0%
587
 
0.6%
668
 
0.5%
844
 
0.3%
742
 
0.3%
1128
 
0.2%
Other values (34)259
 
1.8%
ValueCountFrequency (%)
012771
87.2%
1646
 
4.4%
2335
 
2.3%
3225
 
1.5%
4141
 
1.0%
ValueCountFrequency (%)
612
< 0.1%
563
< 0.1%
521
 
< 0.1%
501
 
< 0.1%
463
< 0.1%
Distinct58
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9746688516
Minimum0
Maximum121
Zeros12489
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.317332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.577526128
Coefficient of variation (CV)4.696493707
Kurtosis174.9385468
Mean0.9746688516
Median Absolute Deviation (MAD)0
Skewness10.62813459
Sum14275
Variance20.95374545
MonotonicityNot monotonic
2022-08-18T01:37:18.365151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012489
85.3%
1617
 
4.2%
2319
 
2.2%
3243
 
1.7%
4172
 
1.2%
5109
 
0.7%
6102
 
0.7%
778
 
0.5%
856
 
0.4%
1146
 
0.3%
Other values (48)415
 
2.8%
ValueCountFrequency (%)
012489
85.3%
1617
 
4.2%
2319
 
2.2%
3243
 
1.7%
4172
 
1.2%
ValueCountFrequency (%)
1213
< 0.1%
872
< 0.1%
822
< 0.1%
721
 
< 0.1%
712
< 0.1%
Distinct72
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.396217397
Minimum0
Maximum172
Zeros12227
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.412941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum172
Range172
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.721244532
Coefficient of variation (CV)4.813895419
Kurtosis200.3876608
Mean1.396217397
Median Absolute Deviation (MAD)0
Skewness11.66490912
Sum20449
Variance45.17512806
MonotonicityNot monotonic
2022-08-18T01:37:18.458076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012227
83.5%
1622
 
4.2%
2317
 
2.2%
3258
 
1.8%
4201
 
1.4%
5104
 
0.7%
7100
 
0.7%
699
 
0.7%
884
 
0.6%
1150
 
0.3%
Other values (62)584
 
4.0%
ValueCountFrequency (%)
012227
83.5%
1622
 
4.2%
2317
 
2.2%
3258
 
1.8%
4201
 
1.4%
ValueCountFrequency (%)
1722
< 0.1%
1672
< 0.1%
1311
 
< 0.1%
1281
 
< 0.1%
1233
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03120305886
Minimum0
Maximum2
Zeros14196
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.551614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.176599688
Coefficient of variation (CV)5.659691531
Kurtosis31.79382387
Mean0.03120305886
Median Absolute Deviation (MAD)0
Skewness5.6516393
Sum457
Variance0.03118744979
MonotonicityNot monotonic
2022-08-18T01:37:18.601910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
014196
96.9%
1443
 
3.0%
27
 
< 0.1%
ValueCountFrequency (%)
014196
96.9%
1443
 
3.0%
27
 
< 0.1%
ValueCountFrequency (%)
27
 
< 0.1%
1443
 
3.0%
014196
96.9%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04567800082
Minimum0
Maximum3
Zeros14037
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.648622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2278705462
Coefficient of variation (CV)4.988627832
Kurtosis31.92508035
Mean0.04567800082
Median Absolute Deviation (MAD)0
Skewness5.398855505
Sum669
Variance0.05192498583
MonotonicityNot monotonic
2022-08-18T01:37:18.693310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
014037
95.8%
1550
 
3.8%
258
 
0.4%
31
 
< 0.1%
ValueCountFrequency (%)
014037
95.8%
1550
 
3.8%
258
 
0.4%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
258
 
0.4%
1550
 
3.8%
014037
95.8%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0660248532
Minimum0
Maximum4
Zeros13861
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.735141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3023921885
Coefficient of variation (CV)4.579975173
Kurtosis36.29419247
Mean0.0660248532
Median Absolute Deviation (MAD)0
Skewness5.516332754
Sum967
Variance0.09144103564
MonotonicityNot monotonic
2022-08-18T01:37:18.772028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
013861
94.6%
1637
 
4.3%
2116
 
0.8%
330
 
0.2%
42
 
< 0.1%
ValueCountFrequency (%)
013861
94.6%
1637
 
4.3%
2116
 
0.8%
330
 
0.2%
42
 
< 0.1%
ValueCountFrequency (%)
42
 
< 0.1%
330
 
0.2%
2116
 
0.8%
1637
 
4.3%
013861
94.6%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1333469889
Minimum0
Maximum6
Zeros13268
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.819120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4683621995
Coefficient of variation (CV)3.512356771
Kurtosis22.93179283
Mean0.1333469889
Median Absolute Deviation (MAD)0
Skewness4.369134878
Sum1953
Variance0.2193631499
MonotonicityNot monotonic
2022-08-18T01:37:18.850745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
013268
90.6%
1949
 
6.5%
2317
 
2.2%
382
 
0.6%
427
 
0.2%
52
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
013268
90.6%
1949
 
6.5%
2317
 
2.2%
382
 
0.6%
427
 
0.2%
ValueCountFrequency (%)
61
 
< 0.1%
52
 
< 0.1%
427
 
0.2%
382
 
0.6%
2317
2.2%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2278437799
Minimum0
Maximum8
Zeros12771
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.885862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6902078255
Coefficient of variation (CV)3.02930291
Kurtosis15.71109263
Mean0.2278437799
Median Absolute Deviation (MAD)0
Skewness3.691811468
Sum3337
Variance0.4763868424
MonotonicityNot monotonic
2022-08-18T01:37:18.918684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
012771
87.2%
1933
 
6.4%
2584
 
4.0%
3239
 
1.6%
485
 
0.6%
528
 
0.2%
64
 
< 0.1%
71
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
012771
87.2%
1933
 
6.4%
2584
 
4.0%
3239
 
1.6%
485
 
0.6%
ValueCountFrequency (%)
81
 
< 0.1%
71
 
< 0.1%
64
 
< 0.1%
528
 
0.2%
485
0.6%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3142154855
Minimum0
Maximum10
Zeros12489
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:18.955073image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8922862919
Coefficient of variation (CV)2.839727299
Kurtosis13.27082485
Mean0.3142154855
Median Absolute Deviation (MAD)0
Skewness3.423406746
Sum4602
Variance0.7961748266
MonotonicityNot monotonic
2022-08-18T01:37:18.988149image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
012489
85.3%
1848
 
5.8%
2615
 
4.2%
3405
 
2.8%
4186
 
1.3%
569
 
0.5%
624
 
0.2%
77
 
< 0.1%
91
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
012489
85.3%
1848
 
5.8%
2615
 
4.2%
3405
 
2.8%
4186
 
1.3%
ValueCountFrequency (%)
101
 
< 0.1%
91
 
< 0.1%
81
 
< 0.1%
77
 
< 0.1%
624
0.2%
Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4024989758
Minimum0
Maximum11
Zeros12227
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.022209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.09539115
Coefficient of variation (CV)2.72147562
Kurtosis12.16348577
Mean0.4024989758
Median Absolute Deviation (MAD)0
Skewness3.298966909
Sum5895
Variance1.199881771
MonotonicityNot monotonic
2022-08-18T01:37:19.054249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
012227
83.5%
1885
 
6.0%
2533
 
3.6%
3455
 
3.1%
4311
 
2.1%
5142
 
1.0%
654
 
0.4%
722
 
0.2%
810
 
0.1%
94
 
< 0.1%
Other values (2)3
 
< 0.1%
ValueCountFrequency (%)
012227
83.5%
1885
 
6.0%
2533
 
3.6%
3455
 
3.1%
4311
 
2.1%
ValueCountFrequency (%)
111
 
< 0.1%
102
 
< 0.1%
94
 
< 0.1%
810
0.1%
722
0.2%
Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.665027994
Minimum0
Maximum15
Zeros9634
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.087737image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.293168946
Coefficient of variation (CV)1.944533099
Kurtosis13.92482765
Mean0.665027994
Median Absolute Deviation (MAD)0
Skewness3.151926238
Sum9740
Variance1.672285923
MonotonicityNot monotonic
2022-08-18T01:37:19.120315image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
09634
65.8%
12872
 
19.6%
21009
 
6.9%
3497
 
3.4%
4273
 
1.9%
5147
 
1.0%
6108
 
0.7%
743
 
0.3%
924
 
0.2%
822
 
0.2%
Other values (4)17
 
0.1%
ValueCountFrequency (%)
09634
65.8%
12872
 
19.6%
21009
 
6.9%
3497
 
3.4%
4273
 
1.9%
ValueCountFrequency (%)
151
 
< 0.1%
143
 
< 0.1%
114
 
< 0.1%
109
 
0.1%
924
0.2%
Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.024170422
Minimum0
Maximum15
Zeros8081
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.156320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.697656563
Coefficient of variation (CV)1.657591868
Kurtosis9.085344239
Mean1.024170422
Median Absolute Deviation (MAD)0
Skewness2.624719245
Sum15000
Variance2.882037806
MonotonicityNot monotonic
2022-08-18T01:37:19.190588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
08081
55.2%
13190
 
21.8%
21412
 
9.6%
3766
 
5.2%
4453
 
3.1%
5284
 
1.9%
6176
 
1.2%
7113
 
0.8%
865
 
0.4%
950
 
0.3%
Other values (6)56
 
0.4%
ValueCountFrequency (%)
08081
55.2%
13190
 
21.8%
21412
 
9.6%
3766
 
5.2%
4453
 
3.1%
ValueCountFrequency (%)
151
 
< 0.1%
148
0.1%
132
 
< 0.1%
1210
0.1%
1116
0.1%
Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.645022532
Minimum0
Maximum19
Zeros6290
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.228108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum19
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.352446148
Coefficient of variation (CV)1.430038861
Kurtosis6.170576956
Mean1.645022532
Median Absolute Deviation (MAD)1
Skewness2.226974418
Sum24093
Variance5.534002878
MonotonicityNot monotonic
2022-08-18T01:37:19.263121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
06290
42.9%
13246
22.2%
21719
 
11.7%
31082
 
7.4%
4722
 
4.9%
5500
 
3.4%
6353
 
2.4%
7226
 
1.5%
8155
 
1.1%
9115
 
0.8%
Other values (9)238
 
1.6%
ValueCountFrequency (%)
06290
42.9%
13246
22.2%
21719
 
11.7%
31082
 
7.4%
4722
 
4.9%
ValueCountFrequency (%)
191
 
< 0.1%
182
 
< 0.1%
169
0.1%
1511
0.1%
1417
0.1%
Distinct30
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.818994947
Minimum0
Maximum30
Zeros3018
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.302707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile13
Maximum30
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.336771841
Coefficient of variation (CV)1.135579361
Kurtosis3.909529053
Mean3.818994947
Median Absolute Deviation (MAD)2
Skewness1.8211291
Sum55933
Variance18.80759
MonotonicityNot monotonic
2022-08-18T01:37:19.340502image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
03018
20.6%
12697
18.4%
21827
12.5%
31455
9.9%
41164
 
7.9%
5841
 
5.7%
6746
 
5.1%
7542
 
3.7%
8464
 
3.2%
9383
 
2.6%
Other values (20)1509
10.3%
ValueCountFrequency (%)
03018
20.6%
12697
18.4%
21827
12.5%
31455
9.9%
41164
 
7.9%
ValueCountFrequency (%)
302
 
< 0.1%
282
 
< 0.1%
274
 
< 0.1%
2611
0.1%
2512
0.1%
Distinct47
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.928990851
Minimum0
Maximum48
Zeros1523
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.384685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile21
Maximum48
Range48
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.947435428
Coefficient of variation (CV)1.002661943
Kurtosis3.11399962
Mean6.928990851
Median Absolute Deviation (MAD)4
Skewness1.629163324
Sum101482
Variance48.26685903
MonotonicityNot monotonic
2022-08-18T01:37:19.433524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
11646
11.2%
01523
 
10.4%
21473
 
10.1%
31336
 
9.1%
41103
 
7.5%
5884
 
6.0%
6852
 
5.8%
7778
 
5.3%
8668
 
4.6%
9530
 
3.6%
Other values (37)3853
26.3%
ValueCountFrequency (%)
01523
10.4%
11646
11.2%
21473
10.1%
31336
9.1%
41103
7.5%
ValueCountFrequency (%)
483
< 0.1%
451
 
< 0.1%
444
< 0.1%
432
 
< 0.1%
426
< 0.1%
Distinct51
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.561859893
Minimum0
Maximum56
Zeros918
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.479693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q314
95-th percentile27
Maximum56
Range56
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.699330509
Coefficient of variation (CV)0.9097948104
Kurtosis1.664860336
Mean9.561859893
Median Absolute Deviation (MAD)5
Skewness1.338471223
Sum140043
Variance75.67835131
MonotonicityNot monotonic
2022-08-18T01:37:19.524987image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11137
 
7.8%
31121
 
7.7%
21086
 
7.4%
4991
 
6.8%
0918
 
6.3%
5881
 
6.0%
6817
 
5.6%
7703
 
4.8%
8693
 
4.7%
10576
 
3.9%
Other values (41)5723
39.1%
ValueCountFrequency (%)
0918
6.3%
11137
7.8%
21086
7.4%
31121
7.7%
4991
6.8%
ValueCountFrequency (%)
561
 
< 0.1%
502
< 0.1%
493
< 0.1%
473
< 0.1%
463
< 0.1%
Distinct58
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.68530657
Minimum0
Maximum58
Zeros600
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.573641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q317
95-th percentile33
Maximum58
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.12392512
Coefficient of variation (CV)0.8663807888
Kurtosis1.189410972
Mean11.68530657
Median Absolute Deviation (MAD)6
Skewness1.22376236
Sum171143
Variance102.4938599
MonotonicityNot monotonic
2022-08-18T01:37:19.619850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3913
 
6.2%
2907
 
6.2%
4903
 
6.2%
1889
 
6.1%
5815
 
5.6%
6723
 
4.9%
7715
 
4.9%
8661
 
4.5%
0600
 
4.1%
10598
 
4.1%
Other values (48)6922
47.3%
ValueCountFrequency (%)
0600
4.1%
1889
6.1%
2907
6.2%
3913
6.2%
4903
6.2%
ValueCountFrequency (%)
583
< 0.1%
571
 
< 0.1%
562
 
< 0.1%
555
< 0.1%
543
< 0.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.187013519
Minimum0
Maximum27
Zeros13144
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.660776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7964915373
Coefficient of variation (CV)4.259005131
Kurtosis161.2032066
Mean0.187013519
Median Absolute Deviation (MAD)0
Skewness9.456767248
Sum2739
Variance0.634398769
MonotonicityNot monotonic
2022-08-18T01:37:19.695426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
013144
89.7%
1992
 
6.8%
2233
 
1.6%
3131
 
0.9%
451
 
0.3%
534
 
0.2%
623
 
0.2%
910
 
0.1%
810
 
0.1%
76
 
< 0.1%
Other values (5)12
 
0.1%
ValueCountFrequency (%)
013144
89.7%
1992
 
6.8%
2233
 
1.6%
3131
 
0.9%
451
 
0.3%
ValueCountFrequency (%)
271
 
< 0.1%
152
< 0.1%
133
< 0.1%
124
< 0.1%
102
< 0.1%
Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29605353
Minimum0
Maximum27
Zeros12562
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.730289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.06408875
Coefficient of variation (CV)3.594244427
Kurtosis83.19593306
Mean0.29605353
Median Absolute Deviation (MAD)0
Skewness7.194398872
Sum4336
Variance1.132284868
MonotonicityNot monotonic
2022-08-18T01:37:19.911513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
012562
85.8%
11215
 
8.3%
2385
 
2.6%
3204
 
1.4%
490
 
0.6%
570
 
0.5%
641
 
0.3%
818
 
0.1%
917
 
0.1%
715
 
0.1%
Other values (9)29
 
0.2%
ValueCountFrequency (%)
012562
85.8%
11215
 
8.3%
2385
 
2.6%
3204
 
1.4%
490
 
0.6%
ValueCountFrequency (%)
271
 
< 0.1%
201
 
< 0.1%
181
 
< 0.1%
153
< 0.1%
141
 
< 0.1%
Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4803359279
Minimum0
Maximum27
Zeros11777
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:19.947757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.49348961
Coefficient of variation (CV)3.109260672
Kurtosis59.13436771
Mean0.4803359279
Median Absolute Deviation (MAD)0
Skewness6.175434353
Sum7035
Variance2.230511215
MonotonicityNot monotonic
2022-08-18T01:37:19.984830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
011777
80.4%
11475
 
10.1%
2542
 
3.7%
3321
 
2.2%
4158
 
1.1%
597
 
0.7%
688
 
0.6%
753
 
0.4%
837
 
0.3%
928
 
0.2%
Other values (13)70
 
0.5%
ValueCountFrequency (%)
011777
80.4%
11475
 
10.1%
2542
 
3.7%
3321
 
2.2%
4158
 
1.1%
ValueCountFrequency (%)
271
 
< 0.1%
254
< 0.1%
231
 
< 0.1%
221
 
< 0.1%
211
 
< 0.1%
Distinct43
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.268332651
Minimum0
Maximum62
Zeros9932
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.025463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum62
Range62
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.521222326
Coefficient of variation (CV)2.776260884
Kurtosis61.98953501
Mean1.268332651
Median Absolute Deviation (MAD)0
Skewness6.275332467
Sum18576
Variance12.39900667
MonotonicityNot monotonic
2022-08-18T01:37:20.069268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
09932
67.8%
11911
 
13.0%
2773
 
5.3%
3512
 
3.5%
4355
 
2.4%
5233
 
1.6%
6172
 
1.2%
8110
 
0.8%
7103
 
0.7%
998
 
0.7%
Other values (33)447
 
3.1%
ValueCountFrequency (%)
09932
67.8%
11911
 
13.0%
2773
 
5.3%
3512
 
3.5%
4355
 
2.4%
ValueCountFrequency (%)
623
< 0.1%
591
 
< 0.1%
581
 
< 0.1%
532
< 0.1%
521
 
< 0.1%
Distinct73
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.613136693
Minimum0
Maximum116
Zeros8285
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.114949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum116
Range116
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.601385334
Coefficient of variation (CV)2.526230393
Kurtosis48.11923231
Mean2.613136693
Median Absolute Deviation (MAD)0
Skewness5.640060906
Sum38272
Variance43.57828832
MonotonicityNot monotonic
2022-08-18T01:37:20.162199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08285
56.6%
12003
 
13.7%
2917
 
6.3%
3669
 
4.6%
4515
 
3.5%
5337
 
2.3%
6295
 
2.0%
7194
 
1.3%
8176
 
1.2%
9150
 
1.0%
Other values (63)1105
 
7.5%
ValueCountFrequency (%)
08285
56.6%
12003
 
13.7%
2917
 
6.3%
3669
 
4.6%
4515
 
3.5%
ValueCountFrequency (%)
1161
< 0.1%
1111
< 0.1%
1031
< 0.1%
891
< 0.1%
862
< 0.1%
Distinct90
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.82479858
Minimum0
Maximum152
Zeros7307
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.209617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile19
Maximum152
Range152
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.084559451
Coefficient of variation (CV)2.375173297
Kurtosis47.33950288
Mean3.82479858
Median Absolute Deviation (MAD)1
Skewness5.466772375
Sum56018
Variance82.52922043
MonotonicityNot monotonic
2022-08-18T01:37:20.254687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07307
49.9%
12033
 
13.9%
2983
 
6.7%
3679
 
4.6%
4547
 
3.7%
5401
 
2.7%
6370
 
2.5%
7261
 
1.8%
8212
 
1.4%
10202
 
1.4%
Other values (80)1651
 
11.3%
ValueCountFrequency (%)
07307
49.9%
12033
 
13.9%
2983
 
6.7%
3679
 
4.6%
4547
 
3.7%
ValueCountFrequency (%)
1523
< 0.1%
1371
 
< 0.1%
1321
 
< 0.1%
1261
 
< 0.1%
1192
< 0.1%
Distinct117
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.899494743
Minimum0
Maximum242
Zeros6724
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.302422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile24
Maximum242
Range242
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.82844266
Coefficient of variation (CV)2.414216829
Kurtosis61.83196427
Mean4.899494743
Median Absolute Deviation (MAD)1
Skewness6.137834176
Sum71758
Variance139.9120557
MonotonicityNot monotonic
2022-08-18T01:37:20.349384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06724
45.9%
12017
 
13.8%
21008
 
6.9%
3731
 
5.0%
4581
 
4.0%
6393
 
2.7%
5379
 
2.6%
7284
 
1.9%
8227
 
1.5%
9211
 
1.4%
Other values (107)2091
 
14.3%
ValueCountFrequency (%)
06724
45.9%
12017
 
13.8%
21008
 
6.9%
3731
 
5.0%
4581
 
4.0%
ValueCountFrequency (%)
2421
< 0.1%
2221
< 0.1%
1971
< 0.1%
1831
< 0.1%
1651
< 0.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1183258228
Minimum0
Maximum5
Zeros13144
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.385882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3788485321
Coefficient of variation (CV)3.201740104
Kurtosis20.96017789
Mean0.1183258228
Median Absolute Deviation (MAD)0
Skewness3.921829331
Sum1733
Variance0.1435262103
MonotonicityNot monotonic
2022-08-18T01:37:20.417032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013144
89.7%
11314
 
9.0%
2154
 
1.1%
329
 
0.2%
54
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
013144
89.7%
11314
 
9.0%
2154
 
1.1%
329
 
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
54
 
< 0.1%
41
 
< 0.1%
329
 
0.2%
2154
 
1.1%
11314
9.0%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1829168374
Minimum0
Maximum5
Zeros12562
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.447437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5036545034
Coefficient of variation (CV)2.753461686
Kurtosis15.2936437
Mean0.1829168374
Median Absolute Deviation (MAD)0
Skewness3.443854077
Sum2679
Variance0.2536678588
MonotonicityNot monotonic
2022-08-18T01:37:20.480132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
012562
85.8%
11616
 
11.0%
2372
 
2.5%
375
 
0.5%
411
 
0.1%
510
 
0.1%
ValueCountFrequency (%)
012562
85.8%
11616
 
11.0%
2372
 
2.5%
375
 
0.5%
411
 
0.1%
ValueCountFrequency (%)
510
 
0.1%
411
 
0.1%
375
 
0.5%
2372
 
2.5%
11616
11.0%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2907961218
Minimum0
Maximum8
Zeros11777
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.516742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6957167555
Coefficient of variation (CV)2.392455412
Kurtosis12.97183125
Mean0.2907961218
Median Absolute Deviation (MAD)0
Skewness3.154166449
Sum4259
Variance0.4840218038
MonotonicityNot monotonic
2022-08-18T01:37:20.552220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
011777
80.4%
11920
 
13.1%
2643
 
4.4%
3221
 
1.5%
448
 
0.3%
528
 
0.2%
66
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
011777
80.4%
11920
 
13.1%
2643
 
4.4%
3221
 
1.5%
448
 
0.3%
ValueCountFrequency (%)
81
 
< 0.1%
72
 
< 0.1%
66
 
< 0.1%
528
0.2%
448
0.3%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6010514816
Minimum0
Maximum10
Zeros9932
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.587873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.128783046
Coefficient of variation (CV)1.878013915
Kurtosis8.36820003
Mean0.6010514816
Median Absolute Deviation (MAD)0
Skewness2.580990034
Sum8803
Variance1.274151165
MonotonicityNot monotonic
2022-08-18T01:37:20.620641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
09932
67.8%
12553
 
17.4%
21117
 
7.6%
3553
 
3.8%
4268
 
1.8%
5122
 
0.8%
664
 
0.4%
817
 
0.1%
713
 
0.1%
96
 
< 0.1%
ValueCountFrequency (%)
09932
67.8%
12553
 
17.4%
21117
 
7.6%
3553
 
3.8%
4268
 
1.8%
ValueCountFrequency (%)
101
 
< 0.1%
96
 
< 0.1%
817
 
0.1%
713
 
0.1%
664
0.4%
Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.035504575
Minimum0
Maximum20
Zeros8285
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.671010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.677019939
Coefficient of variation (CV)1.619519585
Kurtosis8.769259312
Mean1.035504575
Median Absolute Deviation (MAD)0
Skewness2.460573362
Sum15166
Variance2.812395877
MonotonicityNot monotonic
2022-08-18T01:37:20.719147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
08285
56.6%
12646
 
18.1%
21555
 
10.6%
3900
 
6.1%
4546
 
3.7%
5319
 
2.2%
6174
 
1.2%
788
 
0.6%
852
 
0.4%
927
 
0.2%
Other values (7)54
 
0.4%
ValueCountFrequency (%)
08285
56.6%
12646
 
18.1%
21555
 
10.6%
3900
 
6.1%
4546
 
3.7%
ValueCountFrequency (%)
201
 
< 0.1%
171
 
< 0.1%
144
 
< 0.1%
132
 
< 0.1%
1210
0.1%
Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.414584187
Minimum0
Maximum23
Zeros7307
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.758151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.127911133
Coefficient of variation (CV)1.504266168
Kurtosis7.734818218
Mean1.414584187
Median Absolute Deviation (MAD)1
Skewness2.322376696
Sum20718
Variance4.528005792
MonotonicityNot monotonic
2022-08-18T01:37:20.793175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
07307
49.9%
12646
 
18.1%
21534
 
10.5%
31151
 
7.9%
4715
 
4.9%
5486
 
3.3%
6299
 
2.0%
7202
 
1.4%
8107
 
0.7%
972
 
0.5%
Other values (11)127
 
0.9%
ValueCountFrequency (%)
07307
49.9%
12646
 
18.1%
21534
 
10.5%
31151
 
7.9%
4715
 
4.9%
ValueCountFrequency (%)
231
 
< 0.1%
201
 
< 0.1%
183
< 0.1%
171
 
< 0.1%
163
< 0.1%
Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.702171241
Minimum0
Maximum32
Zeros6724
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.829426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum32
Range32
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.479948553
Coefficient of variation (CV)1.456932471
Kurtosis9.217698042
Mean1.702171241
Median Absolute Deviation (MAD)1
Skewness2.38425072
Sum24930
Variance6.150144824
MonotonicityNot monotonic
2022-08-18T01:37:20.865545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
06724
45.9%
12639
 
18.0%
21533
 
10.5%
31176
 
8.0%
4788
 
5.4%
5600
 
4.1%
6402
 
2.7%
7276
 
1.9%
8156
 
1.1%
9118
 
0.8%
Other values (14)234
 
1.6%
ValueCountFrequency (%)
06724
45.9%
12639
 
18.0%
21533
 
10.5%
31176
 
8.0%
4788
 
5.4%
ValueCountFrequency (%)
321
 
< 0.1%
263
< 0.1%
213
< 0.1%
203
< 0.1%
191
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0305885566
Minimum0
Maximum3
Zeros14222
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.899897image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1825984306
Coefficient of variation (CV)5.969501372
Kurtosis49.84016187
Mean0.0305885566
Median Absolute Deviation (MAD)0
Skewness6.536984843
Sum448
Variance0.03334218687
MonotonicityNot monotonic
2022-08-18T01:37:20.928662image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
014222
97.1%
1403
 
2.8%
218
 
0.1%
33
 
< 0.1%
ValueCountFrequency (%)
014222
97.1%
1403
 
2.8%
218
 
0.1%
33
 
< 0.1%
ValueCountFrequency (%)
33
 
< 0.1%
218
 
0.1%
1403
 
2.8%
014222
97.1%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05038918476
Minimum0
Maximum4
Zeros14006
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:20.961145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.250750023
Coefficient of variation (CV)4.976266716
Kurtosis39.96963277
Mean0.05038918476
Median Absolute Deviation (MAD)0
Skewness5.782361053
Sum738
Variance0.06287557403
MonotonicityNot monotonic
2022-08-18T01:37:20.992847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
014006
95.6%
1553
 
3.8%
277
 
0.5%
39
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
014006
95.6%
1553
 
3.8%
277
 
0.5%
39
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
39
 
0.1%
277
 
0.5%
1553
 
3.8%
014006
95.6%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07974873686
Minimum0
Maximum5
Zeros13741
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.027782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3437838447
Coefficient of variation (CV)4.310837491
Kurtosis34.11685448
Mean0.07974873686
Median Absolute Deviation (MAD)0
Skewness5.308728436
Sum1168
Variance0.1181873319
MonotonicityNot monotonic
2022-08-18T01:37:21.059777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
013741
93.8%
1699
 
4.8%
2156
 
1.1%
344
 
0.3%
45
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
013741
93.8%
1699
 
4.8%
2156
 
1.1%
344
 
0.3%
45
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
45
 
< 0.1%
344
 
0.3%
2156
 
1.1%
1699
4.8%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1581319132
Minimum0
Maximum7
Zeros13168
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.091141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5531971379
Coefficient of variation (CV)3.498326978
Kurtosis28.78673981
Mean0.1581319132
Median Absolute Deviation (MAD)0
Skewness4.695496204
Sum2316
Variance0.3060270733
MonotonicityNot monotonic
2022-08-18T01:37:21.121932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
013168
89.9%
1924
 
6.3%
2362
 
2.5%
3130
 
0.9%
448
 
0.3%
76
 
< 0.1%
64
 
< 0.1%
54
 
< 0.1%
ValueCountFrequency (%)
013168
89.9%
1924
 
6.3%
2362
 
2.5%
3130
 
0.9%
448
 
0.3%
ValueCountFrequency (%)
76
 
< 0.1%
64
 
< 0.1%
54
 
< 0.1%
448
 
0.3%
3130
0.9%
Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.269356821
Minimum0
Maximum10
Zeros12520
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.156613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7990429296
Coefficient of variation (CV)2.966484854
Kurtosis22.61808078
Mean0.269356821
Median Absolute Deviation (MAD)0
Skewness4.116680578
Sum3945
Variance0.6384696034
MonotonicityNot monotonic
2022-08-18T01:37:21.189778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
012520
85.5%
11118
 
7.6%
2522
 
3.6%
3308
 
2.1%
496
 
0.7%
553
 
0.4%
613
 
0.1%
95
 
< 0.1%
75
 
< 0.1%
84
 
< 0.1%
ValueCountFrequency (%)
012520
85.5%
11118
 
7.6%
2522
 
3.6%
3308
 
2.1%
496
 
0.7%
ValueCountFrequency (%)
102
 
< 0.1%
95
 
< 0.1%
84
 
< 0.1%
75
 
< 0.1%
613
0.1%
Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3817424553
Minimum0
Maximum12
Zeros12018
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.224267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.031649312
Coefficient of variation (CV)2.70247466
Kurtosis18.65562814
Mean0.3817424553
Median Absolute Deviation (MAD)0
Skewness3.766932489
Sum5591
Variance1.064300303
MonotonicityNot monotonic
2022-08-18T01:37:21.260559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
012018
82.1%
11238
 
8.5%
2587
 
4.0%
3399
 
2.7%
4224
 
1.5%
590
 
0.6%
643
 
0.3%
730
 
0.2%
95
 
< 0.1%
113
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
012018
82.1%
11238
 
8.5%
2587
 
4.0%
3399
 
2.7%
4224
 
1.5%
ValueCountFrequency (%)
123
< 0.1%
113
< 0.1%
103
< 0.1%
95
< 0.1%
83
< 0.1%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4924211389
Minimum0
Maximum20
Zeros11585
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.295947image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.252397053
Coefficient of variation (CV)2.543345429
Kurtosis18.51161441
Mean0.4924211389
Median Absolute Deviation (MAD)0
Skewness3.63947532
Sum7212
Variance1.568498378
MonotonicityNot monotonic
2022-08-18T01:37:21.330361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
011585
79.1%
11378
 
9.4%
2604
 
4.1%
3435
 
3.0%
4278
 
1.9%
5192
 
1.3%
684
 
0.6%
746
 
0.3%
816
 
0.1%
914
 
0.1%
Other values (5)14
 
0.1%
ValueCountFrequency (%)
011585
79.1%
11378
 
9.4%
2604
 
4.1%
3435
 
3.0%
4278
 
1.9%
ValueCountFrequency (%)
201
 
< 0.1%
134
< 0.1%
123
< 0.1%
111
 
< 0.1%
105
< 0.1%

swo_ind_same_phone_different_pesel_count_p0_30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06397651236
Minimum0
Maximum31
Zeros14267
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.509188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.637244731
Coefficient of variation (CV)9.960604409
Kurtosis608.2006921
Mean0.06397651236
Median Absolute Deviation (MAD)0
Skewness20.3112846
Sum937
Variance0.4060808472
MonotonicityNot monotonic
2022-08-18T01:37:21.541839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
014267
97.4%
1220
 
1.5%
267
 
0.5%
330
 
0.2%
417
 
0.1%
610
 
0.1%
108
 
0.1%
156
 
< 0.1%
56
 
< 0.1%
85
 
< 0.1%
Other values (6)10
 
0.1%
ValueCountFrequency (%)
014267
97.4%
1220
 
1.5%
267
 
0.5%
330
 
0.2%
417
 
0.1%
ValueCountFrequency (%)
311
 
< 0.1%
156
< 0.1%
141
 
< 0.1%
132
 
< 0.1%
112
 
< 0.1%

swo_ind_same_phone_different_pesel_count_p0_90
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1371705585
Minimum0
Maximum50
Zeros14016
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.578000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.229083778
Coefficient of variation (CV)8.960259341
Kurtosis724.3518679
Mean0.1371705585
Median Absolute Deviation (MAD)0
Skewness22.44081923
Sum2009
Variance1.510646934
MonotonicityNot monotonic
2022-08-18T01:37:21.615994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
014016
95.7%
1317
 
2.2%
2108
 
0.7%
355
 
0.4%
447
 
0.3%
721
 
0.1%
521
 
0.1%
611
 
0.1%
108
 
0.1%
88
 
0.1%
Other values (13)34
 
0.2%
ValueCountFrequency (%)
014016
95.7%
1317
 
2.2%
2108
 
0.7%
355
 
0.4%
447
 
0.3%
ValueCountFrequency (%)
503
< 0.1%
411
 
< 0.1%
291
 
< 0.1%
221
 
< 0.1%
205
< 0.1%
Distinct34
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2216304793
Minimum0
Maximum50
Zeros13841
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.656180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.790811254
Coefficient of variation (CV)8.08016686
Kurtosis346.0307335
Mean0.2216304793
Median Absolute Deviation (MAD)0
Skewness16.38089374
Sum3246
Variance3.207004948
MonotonicityNot monotonic
2022-08-18T01:37:21.697717image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
013841
94.5%
1354
 
2.4%
2160
 
1.1%
368
 
0.5%
445
 
0.3%
545
 
0.3%
720
 
0.1%
619
 
0.1%
910
 
0.1%
1210
 
0.1%
Other values (24)74
 
0.5%
ValueCountFrequency (%)
013841
94.5%
1354
 
2.4%
2160
 
1.1%
368
 
0.5%
445
 
0.3%
ValueCountFrequency (%)
505
< 0.1%
401
 
< 0.1%
393
< 0.1%
381
 
< 0.1%
371
 
< 0.1%
Distinct36
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3069097364
Minimum0
Maximum50
Zeros13682
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.738798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.351400514
Coefficient of variation (CV)7.661537694
Kurtosis263.2579623
Mean0.3069097364
Median Absolute Deviation (MAD)0
Skewness14.71932312
Sum4495
Variance5.529084379
MonotonicityNot monotonic
2022-08-18T01:37:21.781582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
013682
93.4%
1405
 
2.8%
2177
 
1.2%
383
 
0.6%
557
 
0.4%
453
 
0.4%
635
 
0.2%
724
 
0.2%
5014
 
0.1%
814
 
0.1%
Other values (26)102
 
0.7%
ValueCountFrequency (%)
013682
93.4%
1405
 
2.8%
2177
 
1.2%
383
 
0.6%
453
 
0.4%
ValueCountFrequency (%)
5014
0.1%
442
 
< 0.1%
433
 
< 0.1%
411
 
< 0.1%
331
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01515772224
Minimum0
Maximum3
Zeros14456
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.817005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1423201843
Coefficient of variation (CV)9.389285675
Kurtosis161.8736861
Mean0.01515772224
Median Absolute Deviation (MAD)0
Skewness11.47700104
Sum222
Variance0.02025503487
MonotonicityNot monotonic
2022-08-18T01:37:21.845983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
014456
98.7%
1165
 
1.1%
218
 
0.1%
37
 
< 0.1%
ValueCountFrequency (%)
014456
98.7%
1165
 
1.1%
218
 
0.1%
37
 
< 0.1%
ValueCountFrequency (%)
37
 
< 0.1%
218
 
0.1%
1165
 
1.1%
014456
98.7%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03386590195
Minimum0
Maximum7
Zeros14267
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.878396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2416516674
Coefficient of variation (CV)7.135545001
Kurtosis208.1586199
Mean0.03386590195
Median Absolute Deviation (MAD)0
Skewness11.47225158
Sum496
Variance0.05839552835
MonotonicityNot monotonic
2022-08-18T01:37:21.908774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
014267
97.4%
1296
 
2.0%
267
 
0.5%
38
 
0.1%
44
 
< 0.1%
73
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
014267
97.4%
1296
 
2.0%
267
 
0.5%
38
 
0.1%
44
 
< 0.1%
ValueCountFrequency (%)
73
 
< 0.1%
51
 
< 0.1%
44
 
< 0.1%
38
 
0.1%
267
0.5%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06138194729
Minimum0
Maximum7
Zeros14016
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:21.942109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3390805181
Coefficient of variation (CV)5.524108196
Kurtosis91.59460292
Mean0.06138194729
Median Absolute Deviation (MAD)0
Skewness8.067564178
Sum899
Variance0.1149755978
MonotonicityNot monotonic
2022-08-18T01:37:21.972809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
014016
95.7%
1452
 
3.1%
2121
 
0.8%
339
 
0.3%
49
 
0.1%
55
 
< 0.1%
73
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
014016
95.7%
1452
 
3.1%
2121
 
0.8%
339
 
0.3%
49
 
0.1%
ValueCountFrequency (%)
73
 
< 0.1%
61
 
< 0.1%
55
 
< 0.1%
49
 
0.1%
339
0.3%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08842004643
Minimum0
Maximum9
Zeros13841
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.007320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.438851977
Coefficient of variation (CV)4.963263363
Kurtosis68.40098182
Mean0.08842004643
Median Absolute Deviation (MAD)0
Skewness7.119126039
Sum1295
Variance0.1925910577
MonotonicityNot monotonic
2022-08-18T01:37:22.037686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013841
94.5%
1511
 
3.5%
2175
 
1.2%
374
 
0.5%
429
 
0.2%
66
 
< 0.1%
56
 
< 0.1%
73
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
013841
94.5%
1511
 
3.5%
2175
 
1.2%
374
 
0.5%
429
 
0.2%
ValueCountFrequency (%)
91
 
< 0.1%
73
 
< 0.1%
66
 
< 0.1%
56
 
< 0.1%
429
0.2%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1144339751
Minimum0
Maximum9
Zeros13682
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.070836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5279622995
Coefficient of variation (CV)4.613684868
Kurtosis53.08331666
Mean0.1144339751
Median Absolute Deviation (MAD)0
Skewness6.487654395
Sum1676
Variance0.2787441897
MonotonicityNot monotonic
2022-08-18T01:37:22.101100image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013682
93.4%
1589
 
4.0%
2188
 
1.3%
3101
 
0.7%
446
 
0.3%
525
 
0.2%
68
 
0.1%
76
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
013682
93.4%
1589
 
4.0%
2188
 
1.3%
3101
 
0.7%
446
 
0.3%
ValueCountFrequency (%)
91
 
< 0.1%
76
 
< 0.1%
68
 
0.1%
525
0.2%
446
0.3%

days_after_knownsince_pbd
Real number (ℝ≥0)

MISSING

Distinct2461
Distinct (%)51.4%
Missing9860
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean1992.997702
Minimum3
Maximum7256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.141591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile130
Q1624
median1828
Q32735
95-th percentile5332.5
Maximum7256
Range7253
Interquartile range (IQR)2111

Descriptive statistics

Standard deviation1579.730084
Coefficient of variation (CV)0.7926401934
Kurtosis0.8656302298
Mean1992.997702
Median Absolute Deviation (MAD)991
Skewness1.033444518
Sum9538487
Variance2495547.138
MonotonicityNot monotonic
2022-08-18T01:37:22.188953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224811
 
0.1%
231510
 
0.1%
229410
 
0.1%
22969
 
0.1%
23149
 
0.1%
22329
 
0.1%
23499
 
0.1%
3839
 
0.1%
9769
 
0.1%
3219
 
0.1%
Other values (2451)4692
32.0%
(Missing)9860
67.3%
ValueCountFrequency (%)
32
< 0.1%
71
 
< 0.1%
91
 
< 0.1%
112
< 0.1%
124
< 0.1%
ValueCountFrequency (%)
72562
< 0.1%
72481
< 0.1%
72161
< 0.1%
72111
< 0.1%
71611
< 0.1%

masterriskstatus_no_negative_history
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7910692339
Minimum0
Maximum1
Zeros3060
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.229431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4065587125
Coefficient of variation (CV)0.51393569
Kurtosis0.05081335466
Mean0.7910692339
Median Absolute Deviation (MAD)0
Skewness-1.432063698
Sum11586
Variance0.1652899867
MonotonicityNot monotonic
2022-08-18T01:37:22.259716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
111586
79.1%
03060
 
20.9%
ValueCountFrequency (%)
03060
 
20.9%
111586
79.1%
ValueCountFrequency (%)
111586
79.1%
03060
 
20.9%

masterriskstatus_postempowanie
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01877645774
Minimum0
Maximum1
Zeros14371
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.289994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1357393105
Coefficient of variation (CV)7.229228876
Kurtosis48.29421281
Mean0.01877645774
Median Absolute Deviation (MAD)0
Skewness7.091376309
Sum275
Variance0.0184251604
MonotonicityNot monotonic
2022-08-18T01:37:22.321486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014371
98.1%
1275
 
1.9%
ValueCountFrequency (%)
014371
98.1%
1275
 
1.9%
ValueCountFrequency (%)
1275
 
1.9%
014371
98.1%

repetitionfilter
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01734261915
Minimum0
Maximum1
Zeros14392
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.354068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1305489041
Coefficient of variation (CV)7.527634842
Kurtosis52.69746433
Mean0.01734261915
Median Absolute Deviation (MAD)0
Skewness7.39528689
Sum254
Variance0.01704301637
MonotonicityNot monotonic
2022-08-18T01:37:22.384691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014392
98.3%
1254
 
1.7%
ValueCountFrequency (%)
014392
98.3%
1254
 
1.7%
ValueCountFrequency (%)
1254
 
1.7%
014392
98.3%

score
Real number (ℝ≥0)

Distinct223
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean478.9649051
Minimum327
Maximum583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.423046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile431
Q1459
median478
Q3499
95-th percentile529
Maximum583
Range256
Interquartile range (IQR)40

Descriptive statistics

Standard deviation30.85564354
Coefficient of variation (CV)0.06442151233
Kurtosis0.6492238723
Mean478.9649051
Median Absolute Deviation (MAD)20
Skewness-0.1931653345
Sum7014920
Variance952.0707382
MonotonicityNot monotonic
2022-08-18T01:37:22.470735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
472224
 
1.5%
481223
 
1.5%
480219
 
1.5%
473219
 
1.5%
479211
 
1.4%
468211
 
1.4%
465207
 
1.4%
478207
 
1.4%
476206
 
1.4%
483203
 
1.4%
Other values (213)12516
85.5%
ValueCountFrequency (%)
3271
 
< 0.1%
3323
< 0.1%
3331
 
< 0.1%
3391
 
< 0.1%
3414
< 0.1%
ValueCountFrequency (%)
5831
< 0.1%
5801
< 0.1%
5791
< 0.1%
5772
< 0.1%
5752
< 0.1%

housetype
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.5 KiB
SHARED_USAGE
7338 
UNKNOWN
4971 
PRIVATE_ONLY
1741 
COMPANY_ONLY
 
339
REGULAR
 
257

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSHARED_USAGE
2nd rowUNKNOWN
3rd rowSHARED_USAGE
4th rowSHARED_USAGE
5th rowPRIVATE_ONLY

Common Values

ValueCountFrequency (%)
SHARED_USAGE7338
50.1%
UNKNOWN4971
33.9%
PRIVATE_ONLY1741
 
11.9%
COMPANY_ONLY339
 
2.3%
REGULAR257
 
1.8%

Category Frequency Plot

2022-08-18T01:37:22.517068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.5 KiB
IDENTITY_IN_UNIVERSE
7360 
NOT_IDENTIFIED
3753 
IDENTITY_IN_HOUSE
2594 
LASTNAME_IN_HOUSE
 
478
IDENTITY_IN_CITY
 
274

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIDENTITY_IN_UNIVERSE
2nd rowIDENTITY_IN_UNIVERSE
3rd rowIDENTITY_IN_HOUSE
4th rowIDENTITY_IN_CITY
5th rowIDENTITY_IN_UNIVERSE

Common Values

ValueCountFrequency (%)
IDENTITY_IN_UNIVERSE7360
50.3%
NOT_IDENTIFIED3753
25.6%
IDENTITY_IN_HOUSE2594
 
17.7%
LASTNAME_IN_HOUSE478
 
3.3%
IDENTITY_IN_CITY274
 
1.9%
IDENTITY_IN_STREET187
 
1.3%

Category Frequency Plot

2022-08-18T01:37:22.562718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size114.5 KiB
GREEN
13824 
RED
 
503
YELLOW
 
319

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGREEN
2nd rowRED
3rd rowGREEN
4th rowGREEN
5th rowGREEN

Common Values

ValueCountFrequency (%)
GREEN13824
94.4%
RED503
 
3.4%
YELLOW319
 
2.2%

Category Frequency Plot

2022-08-18T01:37:22.605176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

policyrule_partialdecision
Categorical

MISSING

Distinct3
Distinct (%)0.5%
Missing13987
Missing (%)95.5%
Memory size114.5 KiB
YELLOW
252 
GREEN
247 
RED
160 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRED
2nd rowGREEN
3rd rowYELLOW
4th rowRED
5th rowRED

Common Values

ValueCountFrequency (%)
YELLOW252
 
1.7%
GREEN247
 
1.7%
RED160
 
1.1%
(Missing)13987
95.5%

Category Frequency Plot

2022-08-18T01:37:22.640483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

num_prepaid_loans
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)0.4%
Missing2778
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean4.490815639
Minimum0
Maximum72
Zeros1475
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.679432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile16
Maximum72
Range72
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.821738862
Coefficient of variation (CV)1.296365589
Kurtosis11.82119133
Mean4.490815639
Median Absolute Deviation (MAD)2
Skewness2.844346906
Sum53297
Variance33.89264337
MonotonicityNot monotonic
2022-08-18T01:37:22.723745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12832
19.3%
21876
12.8%
01475
10.1%
31210
8.3%
4851
 
5.8%
5573
 
3.9%
6470
 
3.2%
7403
 
2.8%
8322
 
2.2%
9254
 
1.7%
Other values (43)1602
10.9%
(Missing)2778
19.0%
ValueCountFrequency (%)
01475
10.1%
12832
19.3%
21876
12.8%
31210
8.3%
4851
 
5.8%
ValueCountFrequency (%)
721
< 0.1%
611
< 0.1%
591
< 0.1%
531
< 0.1%
491
< 0.1%

max_prepaid_days
Real number (ℝ≥0)

MISSING

Distinct689
Distinct (%)6.6%
Missing4253
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean95.00798614
Minimum1
Maximum1830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.773546image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median21
Q336
95-th percentile700.8
Maximum1830
Range1829
Interquartile range (IQR)27

Descriptive statistics

Standard deviation246.4594214
Coefficient of variation (CV)2.594091627
Kurtosis14.71950075
Mean95.00798614
Median Absolute Deviation (MAD)12
Skewness3.777216745
Sum987418
Variance60742.24638
MonotonicityNot monotonic
2022-08-18T01:37:22.820748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2471
 
3.2%
1445
 
3.0%
3344
 
2.3%
29289
 
2.0%
4289
 
2.0%
27284
 
1.9%
25254
 
1.7%
22252
 
1.7%
30249
 
1.7%
28245
 
1.7%
Other values (679)7271
49.6%
(Missing)4253
29.0%
ValueCountFrequency (%)
1445
3.0%
2471
3.2%
3344
2.3%
4289
2.0%
5242
1.7%
ValueCountFrequency (%)
18301
< 0.1%
18261
< 0.1%
18222
< 0.1%
18201
< 0.1%
18181
< 0.1%

min_prepaid_days
Real number (ℝ≥0)

MISSING

Distinct167
Distinct (%)1.6%
Missing4253
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean13.20292505
Minimum1
Maximum1567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:22.872828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q39
95-th percentile32.4
Maximum1567
Range1566
Interquartile range (IQR)8

Descriptive statistics

Standard deviation68.79732609
Coefficient of variation (CV)5.210763968
Kurtosis200.4514664
Mean13.20292505
Median Absolute Deviation (MAD)1
Skewness13.35638902
Sum137218
Variance4733.072078
MonotonicityNot monotonic
2022-08-18T01:37:22.918664image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13823
26.1%
21547
 
10.6%
3756
 
5.2%
4505
 
3.4%
5331
 
2.3%
6264
 
1.8%
8240
 
1.6%
7231
 
1.6%
9186
 
1.3%
10183
 
1.2%
Other values (157)2327
15.9%
(Missing)4253
29.0%
ValueCountFrequency (%)
13823
26.1%
21547
10.6%
3756
 
5.2%
4505
 
3.4%
5331
 
2.3%
ValueCountFrequency (%)
15671
< 0.1%
14321
< 0.1%
13591
< 0.1%
12541
< 0.1%
12101
< 0.1%

avg_prepaid_days
Real number (ℝ≥0)

MISSING

Distinct2115
Distinct (%)20.4%
Missing4253
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean35.40280637
Minimum1
Maximum1567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.128293image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q15.5
median11.66666667
Q322.5
95-th percentile142.2642857
Maximum1567
Range1566
Interquartile range (IQR)17

Descriptive statistics

Standard deviation101.6354645
Coefficient of variation (CV)2.87083073
Kurtosis57.20962005
Mean35.40280637
Median Absolute Deviation (MAD)7.33333333
Skewness6.825798562
Sum367941.3666
Variance10329.76764
MonotonicityNot monotonic
2022-08-18T01:37:23.172847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1445
 
3.0%
2407
 
2.8%
3280
 
1.9%
5222
 
1.5%
4222
 
1.5%
8174
 
1.2%
7171
 
1.2%
10163
 
1.1%
6163
 
1.1%
12157
 
1.1%
Other values (2105)7989
54.5%
(Missing)4253
29.0%
ValueCountFrequency (%)
1445
3.0%
1.1666666674
 
< 0.1%
1.256
 
< 0.1%
1.2857142862
 
< 0.1%
1.33333333324
 
0.2%
ValueCountFrequency (%)
15671
< 0.1%
14321
< 0.1%
13591
< 0.1%
12541
< 0.1%
12101
< 0.1%

num_paid_loans_on_time
Real number (ℝ≥0)

MISSING
ZEROS

Distinct19
Distinct (%)0.2%
Missing2778
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.6975901584
Minimum0
Maximum28
Zeros7748
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.213893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.411519231
Coefficient of variation (CV)2.02342194
Kurtosis31.05522243
Mean0.6975901584
Median Absolute Deviation (MAD)0
Skewness4.124313161
Sum8279
Variance1.992386541
MonotonicityNot monotonic
2022-08-18T01:37:23.245599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
07748
52.9%
12268
 
15.5%
2931
 
6.4%
3404
 
2.8%
4216
 
1.5%
5117
 
0.8%
660
 
0.4%
739
 
0.3%
830
 
0.2%
918
 
0.1%
Other values (9)37
 
0.3%
(Missing)2778
 
19.0%
ValueCountFrequency (%)
07748
52.9%
12268
 
15.5%
2931
 
6.4%
3404
 
2.8%
4216
 
1.5%
ValueCountFrequency (%)
281
 
< 0.1%
181
 
< 0.1%
161
 
< 0.1%
154
< 0.1%
143
< 0.1%

num_paid_loans_with_dpd
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.2%
Missing2778
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean1.074907314
Minimum0
Maximum27
Zeros6645
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.281468image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.99291759
Coefficient of variation (CV)1.854036682
Kurtosis22.00035578
Mean1.074907314
Median Absolute Deviation (MAD)0
Skewness3.7367159
Sum12757
Variance3.971720519
MonotonicityNot monotonic
2022-08-18T01:37:23.318458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
06645
45.4%
12557
 
17.5%
21092
 
7.5%
3575
 
3.9%
4326
 
2.2%
5214
 
1.5%
6127
 
0.9%
797
 
0.7%
871
 
0.5%
961
 
0.4%
Other values (15)103
 
0.7%
(Missing)2778
19.0%
ValueCountFrequency (%)
06645
45.4%
12557
 
17.5%
21092
 
7.5%
3575
 
3.9%
4326
 
2.2%
ValueCountFrequency (%)
271
 
< 0.1%
251
 
< 0.1%
233
< 0.1%
211
 
< 0.1%
202
< 0.1%

num_paid_loans_with_dpd_to_all
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing2778
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean0.07018874284
Minimum0
Maximum1
Zeros11035
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.351472image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.255475601
Coefficient of variation (CV)3.639837254
Kurtosis9.327220628
Mean0.07018874284
Median Absolute Deviation (MAD)0
Skewness3.365360134
Sum833
Variance0.06526778269
MonotonicityNot monotonic
2022-08-18T01:37:23.381079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011035
75.3%
1833
 
5.7%
(Missing)2778
 
19.0%
ValueCountFrequency (%)
011035
75.3%
1833
 
5.7%
ValueCountFrequency (%)
1833
 
5.7%
011035
75.3%

max_dpd
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)0.6%
Missing9423
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean8.204097262
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.415664image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q313
95-th percentile25
Maximum53
Range52
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.968009
Coefficient of variation (CV)0.9712231274
Kurtosis0.1373706336
Mean8.204097262
Median Absolute Deviation (MAD)4
Skewness1.095877608
Sum42850
Variance63.48916743
MonotonicityNot monotonic
2022-08-18T01:37:23.456393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11003
 
6.8%
2729
 
5.0%
3491
 
3.4%
4352
 
2.4%
5247
 
1.7%
6246
 
1.7%
8145
 
1.0%
11138
 
0.9%
7135
 
0.9%
12130
 
0.9%
Other values (21)1607
 
11.0%
(Missing)9423
64.3%
ValueCountFrequency (%)
11003
6.8%
2729
5.0%
3491
3.4%
4352
 
2.4%
5247
 
1.7%
ValueCountFrequency (%)
531
 
< 0.1%
3012
 
0.1%
2965
0.4%
2854
0.4%
2756
0.4%

avg_dpd
Real number (ℝ≥0)

MISSING

Distinct342
Distinct (%)6.5%
Missing9423
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean5.957291255
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.500611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.666666667
median3.4
Q38.5
95-th percentile19
Maximum30
Range29
Interquartile range (IQR)6.833333333

Descriptive statistics

Standard deviation6.031669498
Coefficient of variation (CV)1.012485246
Kurtosis2.231544323
Mean5.957291255
Median Absolute Deviation (MAD)2.4
Skewness1.619823816
Sum31114.93222
Variance36.38103694
MonotonicityNot monotonic
2022-08-18T01:37:23.545637image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11003
 
6.8%
2559
 
3.8%
3322
 
2.2%
4223
 
1.5%
1.5174
 
1.2%
6156
 
1.1%
5151
 
1.0%
2.5107
 
0.7%
798
 
0.7%
889
 
0.6%
Other values (332)2341
 
16.0%
(Missing)9423
64.3%
ValueCountFrequency (%)
11003
6.8%
1.1111111111
 
< 0.1%
1.1428571431
 
< 0.1%
1.1666666671
 
< 0.1%
1.24
 
< 0.1%
ValueCountFrequency (%)
303
 
< 0.1%
2921
0.1%
2819
0.1%
27.51
 
< 0.1%
2713
0.1%

oinformationcount
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)0.1%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.06764907471
Minimum0
Maximum33
Zeros14198
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.586842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7013510049
Coefficient of variation (CV)10.36748851
Kurtosis666.1036978
Mean0.06764907471
Median Absolute Deviation (MAD)0
Skewness21.76870231
Sum987
Variance0.4918932321
MonotonicityNot monotonic
2022-08-18T01:37:23.620269image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
014198
96.9%
1250
 
1.7%
240
 
0.3%
331
 
0.2%
424
 
0.2%
59
 
0.1%
69
 
0.1%
97
 
< 0.1%
105
 
< 0.1%
144
 
< 0.1%
Other values (8)13
 
0.1%
(Missing)56
 
0.4%
ValueCountFrequency (%)
014198
96.9%
1250
 
1.7%
240
 
0.3%
331
 
0.2%
424
 
0.2%
ValueCountFrequency (%)
331
 
< 0.1%
251
 
< 0.1%
191
 
< 0.1%
183
< 0.1%
144
< 0.1%

informationcount
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)0.1%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.06764907471
Minimum0
Maximum33
Zeros14198
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.656887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7013510049
Coefficient of variation (CV)10.36748851
Kurtosis666.1036978
Mean0.06764907471
Median Absolute Deviation (MAD)0
Skewness21.76870231
Sum987
Variance0.4918932321
MonotonicityNot monotonic
2022-08-18T01:37:23.690683image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
014198
96.9%
1250
 
1.7%
240
 
0.3%
331
 
0.2%
424
 
0.2%
59
 
0.1%
69
 
0.1%
97
 
< 0.1%
105
 
< 0.1%
144
 
< 0.1%
Other values (8)13
 
0.1%
(Missing)56
 
0.4%
ValueCountFrequency (%)
014198
96.9%
1250
 
1.7%
240
 
0.3%
331
 
0.2%
424
 
0.2%
ValueCountFrequency (%)
331
 
< 0.1%
251
 
< 0.1%
191
 
< 0.1%
183
< 0.1%
144
< 0.1%

debtorscount
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.02686771761
Minimum0
Maximum1
Zeros14198
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.724807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1617023053
Coefficient of variation (CV)6.0184608
Kurtosis32.25846242
Mean0.02686771761
Median Absolute Deviation (MAD)0
Skewness5.852695143
Sum392
Variance0.02614763553
MonotonicityNot monotonic
2022-08-18T01:37:23.755195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014198
96.9%
1392
 
2.7%
(Missing)56
 
0.4%
ValueCountFrequency (%)
014198
96.9%
1392
 
2.7%
ValueCountFrequency (%)
1392
 
2.7%
014198
96.9%

creditorscount
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)0.1%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.04290610007
Minimum0
Maximum8
Zeros14198
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.787787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3390564399
Coefficient of variation (CV)7.902289868
Kurtosis203.1780958
Mean0.04290610007
Median Absolute Deviation (MAD)0
Skewness12.68621531
Sum626
Variance0.1149592694
MonotonicityNot monotonic
2022-08-18T01:37:23.819927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
014198
96.9%
1300
 
2.0%
232
 
0.2%
324
 
0.2%
415
 
0.1%
68
 
0.1%
77
 
< 0.1%
55
 
< 0.1%
81
 
< 0.1%
(Missing)56
 
0.4%
ValueCountFrequency (%)
014198
96.9%
1300
 
2.0%
232
 
0.2%
324
 
0.2%
415
 
0.1%
ValueCountFrequency (%)
81
 
< 0.1%
77
< 0.1%
68
0.1%
55
 
< 0.1%
415
0.1%

amount
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct273
Distinct (%)1.9%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean141.5845531
Minimum0
Maximum81678.5
Zeros14198
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.863553image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum81678.5
Range81678.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2275.920975
Coefficient of variation (CV)16.07464179
Kurtosis641.3043289
Mean141.5845531
Median Absolute Deviation (MAD)0
Skewness23.73210753
Sum2065718.63
Variance5179816.282
MonotonicityNot monotonic
2022-08-18T01:37:23.911301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014198
96.9%
37.985
 
< 0.1%
217.894
 
< 0.1%
7421.944
 
< 0.1%
277.124
 
< 0.1%
394.974
 
< 0.1%
2469.673
 
< 0.1%
6023.923
 
< 0.1%
1474.43
 
< 0.1%
20.233
 
< 0.1%
Other values (263)359
 
2.5%
(Missing)56
 
0.4%
ValueCountFrequency (%)
014198
96.9%
2.241
 
< 0.1%
3.771
 
< 0.1%
10.081
 
< 0.1%
11.793
 
< 0.1%
ValueCountFrequency (%)
81678.51
 
< 0.1%
70633.163
< 0.1%
70032.511
 
< 0.1%
65594.213
< 0.1%
58636.381
 
< 0.1%

providerscount
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.196915696
Minimum0
Maximum5
Zeros2852
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:23.952612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8146165081
Coefficient of variation (CV)0.6805963954
Kurtosis0.8347578058
Mean1.196915696
Median Absolute Deviation (MAD)1
Skewness0.4383297414
Sum17463
Variance0.6636000553
MonotonicityNot monotonic
2022-08-18T01:37:23.986020image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
16653
45.4%
24601
31.4%
02852
19.5%
3367
 
2.5%
478
 
0.5%
539
 
0.3%
(Missing)56
 
0.4%
ValueCountFrequency (%)
02852
19.5%
16653
45.4%
24601
31.4%
3367
 
2.5%
478
 
0.5%
ValueCountFrequency (%)
539
 
0.3%
478
 
0.5%
3367
 
2.5%
24601
31.4%
16653
45.4%

paidobligationscount
Real number (ℝ≥0)

ZEROS

Distinct94
Distinct (%)0.6%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean6.438656614
Minimum0
Maximum160
Zeros2852
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:24.028659image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile26
Maximum160
Range160
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.28670034
Coefficient of variation (CV)1.597646987
Kurtosis24.26971662
Mean6.438656614
Median Absolute Deviation (MAD)3
Skewness3.849804138
Sum93940
Variance105.8162038
MonotonicityNot monotonic
2022-08-18T01:37:24.076056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02852
19.5%
12337
16.0%
21778
12.1%
31293
8.8%
4936
 
6.4%
5666
 
4.5%
6554
 
3.8%
7446
 
3.0%
8421
 
2.9%
9350
 
2.4%
Other values (84)2957
20.2%
ValueCountFrequency (%)
02852
19.5%
12337
16.0%
21778
12.1%
31293
8.8%
4936
 
6.4%
ValueCountFrequency (%)
1601
< 0.1%
1561
< 0.1%
1391
< 0.1%
1182
< 0.1%
1141
< 0.1%

averagepaiddebt
Real number (ℝ≥0)

ZEROS

Distinct7702
Distinct (%)52.8%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1322.469459
Minimum0
Maximum13741.52
Zeros2852
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:24.127918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1477.9225
median1012.5
Q31954.295
95-th percentile3711.969
Maximum13741.52
Range13741.52
Interquartile range (IQR)1476.3725

Descriptive statistics

Standard deviation1240.580924
Coefficient of variation (CV)0.9380790724
Kurtosis3.518965393
Mean1322.469459
Median Absolute Deviation (MAD)734.785
Skewness1.473496784
Sum19294829.41
Variance1539041.028
MonotonicityNot monotonic
2022-08-18T01:37:24.173603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02852
 
19.5%
1000297
 
2.0%
600245
 
1.7%
500234
 
1.6%
800163
 
1.1%
2000156
 
1.1%
30070
 
0.5%
300059
 
0.4%
250058
 
0.4%
3464.757
 
0.4%
Other values (7692)10399
71.0%
(Missing)56
 
0.4%
ValueCountFrequency (%)
02852
19.5%
604
 
< 0.1%
871
 
< 0.1%
10028
 
0.2%
104.291
 
< 0.1%
ValueCountFrequency (%)
13741.521
< 0.1%
11916.081
< 0.1%
9878.41
< 0.1%
9699.031
< 0.1%
9146.941
< 0.1%

averagepaymenttimeindays
Real number (ℝ≥0)

ZEROS

Distinct38
Distinct (%)0.3%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.293214531
Minimum0
Maximum50
Zeros10552
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:24.221345image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.558483199
Coefficient of variation (CV)2.751657296
Kurtosis28.28011579
Mean1.293214531
Median Absolute Deviation (MAD)0
Skewness4.626446279
Sum18868
Variance12.66280268
MonotonicityNot monotonic
2022-08-18T01:37:24.264513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
010552
72.0%
11422
 
9.7%
2580
 
4.0%
3425
 
2.9%
4288
 
2.0%
5233
 
1.6%
6190
 
1.3%
7151
 
1.0%
8109
 
0.7%
995
 
0.6%
Other values (28)545
 
3.7%
ValueCountFrequency (%)
010552
72.0%
11422
 
9.7%
2580
 
4.0%
3425
 
2.9%
4288
 
2.0%
ValueCountFrequency (%)
502
< 0.1%
392
< 0.1%
373
< 0.1%
362
< 0.1%
341
 
< 0.1%

sumpaiddebt
Real number (ℝ≥0)

ZEROS

Distinct7746
Distinct (%)53.1%
Missing56
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean12828.53241
Minimum0
Maximum617303.31
Zeros2852
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:24.312591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1600
median3194.5
Q312248.1925
95-th percentile58101.1565
Maximum617303.31
Range617303.31
Interquartile range (IQR)11648.1925

Descriptive statistics

Standard deviation28128.20759
Coefficient of variation (CV)2.192628641
Kurtosis74.26515344
Mean12828.53241
Median Absolute Deviation (MAD)3194.5
Skewness6.458413634
Sum187168287.9
Variance791196062.3
MonotonicityNot monotonic
2022-08-18T01:37:24.357359image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02852
 
19.5%
1000287
 
2.0%
600242
 
1.7%
500219
 
1.5%
800174
 
1.2%
2000163
 
1.1%
250068
 
0.5%
30061
 
0.4%
300056
 
0.4%
3464.755
 
0.4%
Other values (7736)10413
71.1%
(Missing)56
 
0.4%
ValueCountFrequency (%)
02852
19.5%
604
 
< 0.1%
10024
 
0.2%
104.291
 
< 0.1%
1071
 
< 0.1%
ValueCountFrequency (%)
617303.311
< 0.1%
580365.592
< 0.1%
481831.151
< 0.1%
410199.091
< 0.1%
401854.971
< 0.1%

TARGET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing4646
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean0.2273
Minimum0
Maximum1
Zeros7727
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size114.5 KiB
2022-08-18T01:37:24.395768image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4191089062
Coefficient of variation (CV)1.843857924
Kurtosis-0.3059176106
Mean0.2273
Median Absolute Deviation (MAD)0
Skewness1.301592722
Sum2273
Variance0.1756522752
MonotonicityNot monotonic
2022-08-18T01:37:24.426165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07727
52.8%
12273
 
15.5%
(Missing)4646
31.7%
ValueCountFrequency (%)
07727
52.8%
12273
 
15.5%
ValueCountFrequency (%)
12273
 
15.5%
07727
52.8%